Prior research has documented the continued existence of an expectation gap, defined as the divergence between the public’s and the profession’s conceptions of auditor’s duties, despite the auditing profession’s attempt to adopt standards and practices to close this gap. In this paper, we consider one potential explanation for the persistence of the expectation gap: the role of media bias in shaping public opinion and views. We analyze press articles covering 40 U.S. corporate fraud cases discovered between 1992 and (...) 2011. We compare the auditor’s duties, described by the auditing standards, with the description of the fraud cases as found in the press articles. We draw upon prior research to identify three sources of the expectation gap: deficient performance, deficient standards, and unreasonable expectations. The results of our analysis provide evidence that the performance gap can be reduced by strengthening auditor’s willingness and ability to apply existing auditing standards concerning fraud detection; the standards gap can be narrowed by improving existing auditing standards; and unreasonable expectations, however, involve elements beyond the profession’s sphere of control. As a result, the expectation gap is unlikely to disappear given the media’s tendency to bias, with an overemphasis of unreasonable expectations in their coverage of frauds and press articles tending to reinforce the view that the auditor should take more responsibility for detecting fraud, irrespective of whether this is feasible at a reasonable cost. In addition to the primary role of the press in perpetuating the expectation gap, a second reason for continuation of the expectation gap is that the rational auditor will have difficulty in assessing subjective components of fraudulent behavior. (shrink)

Since Eveland and Shah published their seminal study on the impact of social networks on media bias perceptions in the US, little has been researched about the interpersonal antecedents of hostile media perceptions. In this study we address this gap by investigating the role of safe, or like-minded, political discussions on individuals’ likelihood to perceive media as hostile. We use survey data from more than 5,000 individuals in Germany. Our findings reveal that like-minded discussions increase one’s (...) likelihood to perceive media as hostile; yet, only among those more politically engaged and ideologically on the left. The significance and theoretical implications of the results are discussed in the concluding section. (shrink)

Abstract The questions of whether the news media are biased, and if so, in what direction, typically generate more heat than light. Here, we review some of the most recent and meritorious empirical studies on media bias. This evidence suggests that several prominent national news outlets have a distinct slant to the left or right, and that exposure to these sources influences both public opinion and voting behavior.

A great deal of recent academic writing claims—but, more often, assumes—that the American news media have a predominantly conservative bias, slanting and shaping their coverage in ways that favor right‐wing foreign, economic, cultural, and social policies. Two major books pioneered this position and have gone largely uncriticized, despite their immense influence. A detailed examination of Herbert Gans's Deciding What's News and Ben Bagdikian's The Media Monopoly shows, however, that they fall far short of proving their claims about (...) media bias. The logic of many of their arguments is highly problematic, but especially glaring is the almost complete lack of solid evidence in either book as to the purportedly conservative nature of media content. (shrink)

Designed to help readers learn to seek out and recognize bias in the news; detect ideology, slant, and spin; and recognize propaganda, this volume in the Thinker’s Guide Library empowers readers to weed through overwhelming and often subjective media. It is an ideal supplement for media courses or a companion to daily news reports.

This book reveals the power of critical thinking to make sense of overwhelming and often subjective media by detecting ideology, slant, and spin at work. Building off the Paul-Elder critical thinking framework, Fact over Fake focuses on the internal logic of the news as well as societal influences on the media.

Current research in artificial intelligence (AI) sheds light on algorithmic bias embedded in AI systems. The underrepresentation of women in the AI design sector of the tech industry, as well as in training datasets, results in technological products that encode gender bias, reinforce stereotypes and reproduce normative notions of gender and femininity. Biased behaviour is notably reflected in anthropomorphic AI systems, such as personal intelligent assistants (PIAs) and chatbots, that are usually feminized through various design parameters, such as (...) names, voices and traits. Gendering of AI entities, however, is often reduced to the encoding of stereotypical behavioural patterns that perpetuate normative assumptions about the role of women in society. The impact of this behaviour on social life increases, as human-to-(anthropomorphic)machine interactions are mirrored in human-to-human social interactions. This article presents current critical research on AI bias, focusing on anthropomorphic systems. Moreover, it discusses the significance of women’s engagement in AI design and programming, by presenting selected case studies of contemporary female media artists and designers. Finally, it suggests that women, through their creative practice, provide feminist and critical approaches to AI design which are essential for imagining alternative, inclusive, ethic and de-biased futures for anthropomorphic AIs. (shrink)

In this chapter we argue that emotions are mediated in an incomplete way in online social media because of the heavy reliance on textual messages which fosters a rationalistic bias and an inclination towards less nuanced emotional expressions. This incompleteness can happen either by obscuring emotions, showing less than the original intensity, misinterpreting emotions, or eliciting emotions without feedback and context. Online interactions and deliberations tend to contribute rather than overcome stalemates and informational bubbles, partially due to prevalence (...) of anti-social emotions. It is tempting to see emotions as being the cause of the problem of online verbal aggression and bullying. However, we argue that social media are actually designed in a predominantly rationalistic way, because of the reliance on text-based communication, thereby filtering out social emotions and leaving space for easily expressed antisocial emotions. Based on research on emotions that sees these as key ingredients to moral interaction and deliberation, as well as on research on text-based versus non-verbal communication, we propose a richer understanding of emotions, requiring different designs of online deliberation platforms. We propose that such designs should move from text-centred designs and should find ways to incorporate the complete expression of the full range of human emotions so that these can play a constructive role in online deliberations. (shrink)

In 2015, the Israeli newspaperYedioth Ahronothbegan a campaign against Sweden’s Foreign Minister, Margot Wallström, who is considered a prominent critic of Israeli policy in Palestine. The campaign included various aspects of media bias on both the gender and the ethnopolitical levels and thus raised the question of a possible relationship between these two types of biases. Studies in relation to political communication and gender have traditionally focused on the media coverage of domestic male and female politicians. The (...) present study attempts to examine the gender media coverage of prominent international political actors. It performs a mixed content analysis of 529 news items from three Israeli online newspapers, reports, and articles, which cover world-renowned public figures (among them, Wallström). Each news item is coded into three gender-coverage frames. Additionally, a critical reading of the journalistic texts is conducted. The findings reveal that the combination of the two types of biases, the gender and the political, escalates the media sensation and stereotyping. (shrink)

This chapter contains sections titled: Deception and Dishonesty A Right to Know? Media Bias Is Neutrality a Virtue?

Online information intermediaries such as Facebook and Google are slowly replacing traditional media channels thereby partly becoming the gatekeepers of our society. To deal with the growing amount of information on the social web and the burden it brings on the average user, these gatekeepers recently started to introduce personalization features, algorithms that filter information per individual. In this paper we show that these online services that filter information are not merely algorithms. Humans not only affect the design of (...) the algorithms, but they also can manually influence the filtering process even when the algorithm is operational. We further analyze filtering processes in detail, show how personalization connects to other filtering techniques, and show that both human and technical biases are present in today’s emergent gatekeepers. We use the existing literature on gatekeeping and search engine bias and provide a model of algorithmic gatekeeping. (shrink)

Democracy for Realists delivers a long-overdue attack upon apologetics for American political realities. Achen and Bartels argue that the “folk theory of democracy” is not an accurate description of democracy in the United States and that without a greater degree of economic and social equality, democracy will remain an unattainable ideal. But their account of the gap between ideal and actual relies too heavily on the innate cognitive limitations and biases (particularly intergroup bias) of our psychology. These are important, (...) but they provide only an incomplete understanding if we do not incorporate a focus on information and ideas. Media-effects research and comparative media studies provide evidence that the ignorance of the U.S. voter is only partly caused by cognitive limitations, and they point the way to a more effective way to bring social psychology into political science. (shrink)

Can you think of a meme that made you laugh or a political post that made you angry? These examples illustrate how social media use (SMU) impacts how people feel. Similarly, how people feel when they initiate SMU may impact the emotional effects of SMU. Someone feeling happy may feel more positively during SMU, whereas someone feeling sad may feel more negatively. Using an experimental design, we examined whether following SMU, those in a happy mood would experience increases in (...) positive affect (PA) and those in a sad mood would experience increases in negative affect (NA). A large sample of college students (N = 703) were randomly assigned to a happy, sad, or neutral mood induction before SMU. PA and NA were assessed at baseline, post-mood induction, and after SMU. Contrary to hypotheses, after SMU, people in happy moods experienced decreases in PA, and those in sad moods experienced decreases in NA, reflecting SMU having a dampening effect on emotions. PA and NA were significantly lower after SMU compared to baseline and did not vary by condition. How young adults feel when they log onto SMU matters in understanding how SMU impacts PA and NA, but on average, emotional experiences are dampened. (shrink)

Mass media campaigns are widely and successfully used to change health decisions and behaviors for better or for worse in society. In the United States, media campaigns have been launched at local offices of the states’ department of motor vehicles to promote citizens’ willingness to organ donation and donor registration. We analyze interventional studies of multimedia communication campaigns to encourage organ-donor registration at local offices of states’ department of motor vehicles. The media campaigns include the use of (...) multifaceted communication tools and provide training to desk clerks in the use of scripted messages for the purpose of optimizing enrollment in organ-donor registries. Scripted messages are communicated to customers through mass audiovisual entertainment media, print materials and interpersonal interaction at the offices of departments of motor vehicles. These campaigns give rise to three serious concerns: (1) bias in communicating information with scripted messages without verification of the scientific accuracy of information, (2) the provision of misinformation to future donors that may result in them suffering unintended consequences from consenting to medical procedures before death (e.g, organ preservation and suitability for transplantation), and (3) the unmanaged conflict of interests for organizations charged with implementing these campaigns, (i.e, dual advocacy for transplant recipients and donors). We conclude the following: (1) media campaigns about healthcare should communicate accurate information to the general public and disclose factual materials with the least amount of bias; (2) conflicting interests in media campaigns should be managed with full public transparency; (3) media campaigns should disclose the practical implications of procurement as well as acknowledge the medical, legal, and religious controversies of determining death in organ donation; (4) organ-donor registration must satisfy the criteria of informed consent; (5) media campaigns should serve as a means of public education about organ donation and should not be a form of propaganda. (shrink)

This chapter argues that for human, technological, and human-technological reasons, disagreement, critique, and counterspeech on social media fall squarely into the province of non-ideal theory. It concludes by suggesting a modest but challenging disposition that can help us when we are torn between opposing oppression and contributing to a flame war.

Given the profound influence of social media and emerging evidence of its effects on human behavior and health, bioethicists have an important role to play in the development of professional standards of conduct for health professionals using social media and in the design of online systems themselves. In short, social media is a bioethics issue that has serious implications for medical practice, research, and public health. Here, we inventory several ethical issues across four areas at the intersection (...) of social media and health: the impact of social networking sites on the doctor‐patient relationship, the development of e‐health platforms to deliver care, the use of online data and algorithms to inform health research, and the broader public health consequences of widespread social media use. In doing so, we review discussions of these topics and emphasize the need for bioethics to focus more deeply on the ways online technology platforms are designed and implemented. We argue that bioethicists should turn their attention to the ways in which consumer engagement, bias, and profit maximization shape online content and, consequently, human behavior and health. We also offer a set of recommendations and suggest future directions for addressing ethical challenges in these domains. (shrink)

Social media plays a significant role in modern life, but excessive use of it during the COVID-19 pandemic has become a source of concern. Supported by the conservation of resources theory, the current study extends the literature on problematic social media usage during COVID-19 by investigating its association with emotional and mental health outcomes. In a moderated mediation model, this study proposes that problematic social media use by workers during COVID-19 is linked to fear of COVID-19, which (...) is further associated with depression. The current study tested trait mindfulness as an important personal resource that may be associated with reduced fear of COVID-19 despite problematic social media use. The study collected temporally separate data to avoid common method bias. Pakistani employees working in different organizations completed a series of survey questionnaires. The results supported the moderated mediation model, showing that problematic social media use during the current pandemic is linked to fear of COVID-19 and depression among employees. Furthermore, trait mindfulness was found to be an important buffer, reducing the negative indirect association between problematic social media use and depression through fear of COVID-19. These results offer implications for practitioners. The limitations of this study and future research directions are also discussed. (shrink)

We argue that, to effectively understand media effects in authoritarian societies, researchers must assess different types of media strategies adopted by authoritarian leaders. Using survey data from two Chinese cities, we examine the effects of two types of media strategies adopted by the Chinese government, targeting political attitudes and nonpolitical values and norms, respectively. Following a new line of research, we contrast China’s domestic-controlled media to foreign free media. After accounting for the selection bias (...) in Chinese urbanites’ media access, we do not find sufficient evidence for the effect of the media strategies directly targeting their democratic conceptions. However, sufficient and robust evidence shows that more intensive consumption of diverse media sources, including foreign media, does significantly but indirectly counteract the Chinese government’s political campaigns targeting its citizens’ democratic conceptions, via thwarting the government’s media strategies to cultivate a collectivistic norm in the society. (shrink)

Racial bias and language discrimination are recognized in the health sector in countries such as Sri Lanka. This may extend to images used in health communication and educational literature. We analyzed the racial and ethnic representation in a sample of newspapers and websites related to health obtained over a period. Most of the human figures in health-related messages in newspapers had an overrepresentation of Caucasians. This trend was absent in websites where 73% of the images of Sri Lankans. The (...) reasons for this pattern could be due to the availability of image-quality photographs and exposure to a norm that is racially biased. For example, a majority of images in medical textbooks and prestigious journals are of white Caucasians. A predominance of such images could have two impacts. At an individual level, it would affect acquiring skills of visual diagnoses. At a societal level, it may reinforce a view that most forms of health-related knowledge are created in the West and could add to existing discrimination based on skin color (i.e., colorism). The latter is a known psychosocial stressor that contributes to psychological distress among socially disadvantaged populations and promotes behaviors adverse to health and residential segregation. These may contribute to poorer physical, mental, and infant health outcomes in dark-skinned individuals compared to lighter-skinned in the USA and Canada. Such discrimination within the health system would compromise basic human dignity, disempower patients, and violate the principle of autonomy. Sri Lankan media, the healthcare profession, and educationists need to recognize the relevance and importance of using images that appropriately reflect the realities of their own environment, its people, and patients. (shrink)

Exploratory studies employing volunteer subjects are especially vulnerable to race and class bias. This article illustrates how inattention to race and class as critical dimensions in women's lives can produce biased research samples and lead to false conclusions. It analyzes the race and class background of 200 women who volunteered to participate in an in-depth study of Black and White professional, managerial, and administrative women. Despite a multiplicity of methods used to solicit subjects, White women raised in middle-class families (...) who worked in male-dominated occupations were the most likely to volunteer, and White women were more than twice as likely to respond to media solicitations or letters. To recruit most Black subjects and address their concerns about participation required more labor-intensive strategies involving personal contact. The article discusses reasons for differential volunteering and ways to integrate race and class into qualitative research on women. (shrink)

Components of artificial intelligence (AI) for analysing social big data, such as natural language processing (NLP) algorithms, have improved the timeliness and robustness of health data. NLP techniques have been implemented to analyse large volumes of text from social media platforms to gain insights on disease symptoms, understand barriers to care and predict disease outbreaks. However, AI-based decisions may contain biases that could misrepresent populations, skew results or lead to errors. Bias, within the scope of this paper, is (...) described as the difference between the predictive values and true values within the modelling of an algorithm. Bias within algorithms may lead to inaccurate healthcare outcomes and exacerbate health disparities when results derived from these biased algorithms are applied to health interventions. Researchers who implement these algorithms must consider when and how bias may arise. This paper explores algorithmic biases as a result of data collection, labelling and modelling of NLP algorithms. Researchers have a role in ensuring that efforts towards combating bias are enforced, especially when drawing health conclusions derived from social media posts that are linguistically diverse. Through the implementation of open collaboration, auditing processes and the development of guidelines, researchers may be able to reduce bias and improve NLP algorithms that improve health surveillance. (shrink)

When Artificial Intelligence (AI) is applied in decision-making that affects people’s lives, it is now well established that the outcomes can be biased or discriminatory. The question of whether algorithms themselves can be among the sources of bias has been the subject of recent debate among Artificial Intelligence researchers, and scholars who study the social impact of technology. There has been a tendency to focus on examples, where the data set used to train the AI is biased, and denial (...) on the part of some researchers that algorithms can also be biased. Here we illustrate the point that algorithms themselves can be the source of bias with the example of collaborative filtering algorithms for recommendation and search. These algorithms are known to suffer from cold-start, popularity, and homogenizing biases, among others. While these are typically described as statistical biases rather than biases of moral import; in this paper we show that these statistical biases can lead directly to discriminatory outcomes. The intuitive idea is that data points on the margins of distributions of human data tend to correspond to marginalized people. The statistical biases described here have the effect of further marginalizing the already marginal. Biased algorithms for applications such as media recommendations can have significant impact on individuals’ and communities’ access to information and culturally-relevant resources. This source of bias warrants serious attention given the ubiquity of algorithmic decision-making. (shrink)

The growing number of refugees entering Europe since 2015 has quickly ignited a heated public debate on refugees in Germany. Against the backdrop of the media’s information and opinion-forming function, this paper examines the importance of mainstream and social media among different segments of the German population. Applying cluster analysis to survey data, six clusters with specific attitude-behavior combinations concerning the refugee issue were identified: Pro-Refugee Activists, Passive-Affirmative Mainstream, Directly-Involved Ambivalents, Passive-Worried Mainstream, Worried Agitators, and Anti-Refugee Activists. The (...) results show that these clusters differ both in terms of socio-demographic and political characteristics as well as in terms of people’s issue-specific media usage, expectations, and evaluations of media coverage. Moreover, the findings indicate that social media play a problematic role in the debate as they seem to reinforce people’s pre-existing attitudes toward refugees. The implications of these findings for public debate on refugees are also discussed. (shrink)

As the phenomenon of implicit bias has become increasingly widely known and accepted, a variety of criticisms have similarly gained in prominence. This paper focuses on one particular set of criticisms, generally made from the political left, of what Sally Haslanger calls “implicit bias stories”—a broad term encompassing a wide range of discourses from media discussions to academic papers to implicit bias training. According to this line of thought, implicit bias stories are counterproductive because they (...) serve to distract from the structural and institutional factors that underlie oppression of social groups. This paper argues on the contrary that implicit bias stories, properly told, can help direct attention and concern to structural and institutional factors, and indeed may be especially helpful in motiving action. The key, however, is to tell these stories properly. When implicit bias sto- ries are told in the wrong way, they are indeed counterproductive. This paper looks in detail at several examples of good and bad implicit bias stories, examining what makes some of them counterproductive and others highly effective in motivating action to combat social injustice. (shrink)

The middle-market tabloid newspapers in Britain help to shape a perception of teachers and state schools that is mostly negative and derisory. This article provides examples of this bias in newspaper reportage based on a case study of an annual teacher union conference and journalists' different interpretations of events generally.

Relying on more expansive criteria for defining “mass shootings” than much existing research, we examine a subset of a unique dataset incorporating 7,048 news documents covering 2,170 shootings in the United States between 2013 and 2019. We analyze the descriptive language used to describe incidents and perpetrators and discover significant racial disparities in representation. This research enables a critical examination of the explanatory frames utilized by news media to tell the public who mass shooters are and journalistic attempts to (...) explain why they occur. Data were analyzed utilizing a mixed methods approach, relying on content analysis to inductively code emergent categories of descriptions of shooters and binary logistic regressions to analyze the preponderance of descriptive categories when comparing news articles reporting on shootings committed by differently racialized shooters. Our results confirm some recent research showing that mass shooters racialized as white are more likely to be described with kind and compassionate language. With our larger sample, however, we also find that mass shooters racialized as white are additionally more likely to be described with negative language as “bad” or “evil” in comparison to shooters of color. We discuss how these data demonstrate that media reports present a more complex picture of white mass shooters for the public than shooters of color. (shrink)

Marketers are increasingly relying on promotional practices (variously labeled as stealth marketing, hybrid messages, covert advertising) based on the diffusion of product information by third parties that appear to be independent of advertisers. In this paper, we examine to what extent the media treat their advertisers favorably, providing these advertisers’ products extra visibility in supposedly neutral editorial content. Empirically, we model the determinant of media coverage of Italian fashion products in an extended dataset of consumer magazines in Italy, (...) France, Germany, UK, and the USA. Research findings show that advertising is an important determinant of product placements in editorial content, and this result is consistent across countries and publishers. Our results imply that resource-rich advertisers engaging in compensatory advertising (that is, advertising investments that compensate poor product quality) might bias media coverage in their favor. Consumers will consequently be exposed twice to favorable messages about those products, in both advertisements and media content, resulting in higher purchases and reduced consumer welfare. (shrink)

Racial animosities are being mobilized today by right-wing voices in the US media. Resurgent racism requires intelligent analysis and societal intervention. This essay discusses how the classic, five-volume series Studies in Prejudice, undertaken by Max Horkheimer and others in the Frankfurt School, including Herbert Marcuse, furnishes a critical foundation. The mobilization of bias with regard to historical anti-Semitic abuses was seen to depend in definite ways upon an authoritarian type of personality structure. Herbert Marcuse strengthened the analysis by (...) emphasizing that prejudice formation must be understood as well within concrete socioeconomic conflicts and the requirements of repressive political forces. (shrink)

This study examines the influence of some suspected sources of bias on perceptions of public sector corruption. These sources include dependence on two types of media as information sources about corruption: traditional and social media, positive perception of public employees, and social identification with public employees. Data were collected through a face-to-face survey of the general public in South Korea. The sample comprised 472 respondents evenly dispersed across the country. Through regression analysis, we found that dependence on (...) traditional media—but not social media—significantly increased the perceived level of corruption. However, positive perceptions of and social identification with public employees were negatively associated with it, showing that these factors may skew respondents' perceptions of corruption. The results have implications for practitioners and researchers who design, implement, or evaluate anti-corruption policies, suggesting the need for caution when making use of survey results. (shrink)

There has been a surge in mass media reports extolling the potential for using three-dimensional printing of biomaterials to treat a wide range of clinical conditions. Given that mass media is recognized as one of the most important sources of health and medical information for the general public, especially prospective patients, we report and discuss the ethical consequences of coverage of 3D bioprinting in the media. First, we illustrate how positive mass media narratives of a similar (...) biofabricated technology, namely the Macchiarini scaffold tracheas, which was involved in lethal experimental human trials, influenced potential patient perceptions. Second, we report and analyze the positively biased and enthusiastic portrayal of 3D bioprinting in mass media. Third, we examine the lack of regulation and absence of discussion about risks associated with bioprinting technology. Fourth, we explore how media misunderstanding is dangerously misleading the narrative about the technology. (shrink)

Digitalisation and platformisation are continuously impacting and reshaping the societies we live in. In this context, we are witnessing the rise of phenomena such as fake news, hate speech, and the sharing of any other illegal content through social media. In this paper, I propose some ethical reflections on content moderation in the context of digital (social) media, as this topic seems – to me – to already incorporate other relevant digital issues in it, such as algorithms (...) class='Hi'>bias, the spread of fake news, and the potential misuses of artificial intelligence. In the first section, I will provide a few hermeneutic reflections over a speech given by the Italian scholar Umberto Eco, which appears to underline the necessity of a content moderation in an era of digital (social) media. In the second section, I will analyse, through a consequentialist perspective, critical and ethical issues posed by content moderation. In particular, I suggest the idea of a ‘moderate’ (reasonable and limited) content moderation that can only be assured by humans, as they are able to contextualise the content, to take emotions and subjective elements into account, to apply critical thinking and adaptability in complex circumstances. (shrink)

The underrepresentation of women politicians in the media is a persistent feature in many contemporary democracies. Gender bias in election coverage makes it harder for women to reach positions of power in politics. Drawing on the special circumstances in Austria during the 2019 election campaign which saw the first female top candidate of a major party and a caretaker government containing equal numbers of men and women and which was led by the country’s first woman as chancellor, we (...) examine the effect of these developments on women politicians’ representation in campaign coverage. We draw on quantitative content analysis of Austrian newspaper articles (N = 16,125) during four national parliamentary election campaigns (2008, 2013, 2017 and 2019). We show that for women politicians the media ceiling is slowly lifting at best, but that positions of power provide the most promising ways to evade gendered media bias. (shrink)

In recent years, there has been a growing public discourse regarding the influence AI will have on the future of work. Simultaneously, considerable critical attention has been given to the implications of AI on gender equality. Far from making precise predictions about the future, this discourse demonstrates that new technologies are instances for renegotiating the relation of gender and work. This paper examines how gender is addressed in news media discourse on AI and the future of work, focusing on (...) Germany. We approach this question from a perspective of feminist technology studies and discourse analysis, exploring a corpus of 178 articles from 2015 to 2021 from German newspapers and newsmagazines. The findings indicate that critical AI and gender knowledge circulates in public discourse in the form of specific discursive frames, thematizing algorithmic bias, automatization and enhancement, and gender stereotypes. As a result, we show that, first, the discourse takes up feminist and scholarly discourse on gender and discusses AI in a way that is informed by social constructivism and standpoint theories. Second, gender appears as a—to some extent intersectional—diversity category which is critical to AI, while at the same time omitting important perspectives. Third, it can be shown that there is a renegotiating of the ideal worker norm taking place, and finally, we argue that the gendered frame of the powerful men developer responsible for AI’s risk is a concept to be challenged. (shrink)

In “Artificial Intelligence, Social Media and Depression: A New Concept of Health-Related Digital Autonomy,” Laacke and colleagues posit a revised model of autonomy when using digital algori...

Research Ethics, Volume 18, Issue 3, Page 226-240, July 2022. The ubiquitous use of social platforms across the globe makes them attractive options for investigating social phenomena including migration. However, the use of social media data raises several crucial ethical issues around the areas of informed consent, anonymity and profiling of individuals, which are particularly sensitive when looking at a population such as migrants, which is often considered as ‘vulnerable’. In this paper, we discuss how the opportunities and challenges (...) related to social media research in the context of migration impact on the development of large-scale scientific projects. Building on the EU-funded research project PERCEPTIONS, we explore the concrete challenges experienced in such projects regarding profiling, informed consent, bias, data sharing and ethical approval procedures, as well as the strategies used to mitigate them. We draw from lessons learned in this project to discuss implications and recommendations to researchers, funders and university ethics review panels. This paper contributes to the growing discussion on the ethical challenges associated with big social data research projects on migration by highlighting concrete aspects stakeholders should be looking for and questioning when involved in such large-scale scientific projects where collaboration, data sharing and transformation and practicalities are of importance. (shrink)

In times of crisis and social turbulence, the mass media play a crucial role. This becomes particularly evident in economic crises within the European Union. The (biased) way the crisis is reported shapes people’s understanding of the crisis and the parties involved. In this study, the coverage of the Greek sovereign debt crisis in the German newspapers BILD, Die Welt, Frankfurter Allgemeine Zeitung, Süddeutsche Zeitung, tageszeitung and Der Spiegel (online) is examined for the quality criteria relevance, neutrality, balance, and (...) analytical quality. The results show that the reporting is appropriate to the relevance of the topic, but shows deficits in the criteria of balance, neutrality, and analytical quality. During the study period, coverage focuses on a small number of topics, journalists include their value judgments in news and reports. Overall, there is an obvious media bias against the Greek government’s position. (shrink)

Extremists often aim to paint a biased picture of the world. Radical narratives, for instance, in forms of internet memes or posts, could thus potentially trigger cognitive biases in their users. These cognitive biases, in turn, might shape the users’ formation of extremist attitudes. To test this association, an online experiment (N=392) was conducted with three types of right-wing radical narratives (elite-critique, ingroup-outgroup, violence) in contrast to two control conditions (nonpolitical and neutral political control condition). We then measured the impact (...) of these narratives on the activation of three cognitive biases of relevance in the formation of extremist attitudes: the ingroup-outgroup bias, the negativity bias, and the just-world hypothesis. The results indicate that violence narratives seem to be particularly harmful as they heighten participants’ negativity bias and increase just-world views. Just-world views in turn show a positive relationship to extremist attitudes, which highlights the need of regulating violence invocations on social media. (shrink)

In my dissertation I develop a series of guidelines for responsibly and respectfully navigating varying facets of aesthetic activity involving fat communities. I argue that fat people's engagement with the aesthetic can be used to foster community, resist anti-fat bias, and move towards fat justice. Moreover, I argue that considering representations and treatment of fat people in the production of art must be done carefully in order to avoid perpetuating negative stereotypes and anti-fat bias. My project aims to (...) improve the visibility of fat people, ensuring that fat communities can determine how and when they are seen in ways that affirm their identities and experiences. My project is broken down into four chapters, each of which tackles a different dimension of aesthetic engagement and activity. In the first, I develop a framework called "responsible aesthetic agency" for creators to use when depicting fat people in their work. I intend responsible aesthetic agency to be a way for creators to meet their bare minimum ethical obligations to fat people, and as such this framework is a precursor to Jeremy Fried's aesthetic allyship. I use this framework to argue that artists must attend to the narrative webs in which a work exists when designing their new work's narrative, and that fat people must be active participants in this design and in the realization of said narratives. My second chapter addresses how individuals can use aesthetic agency to advocate for themselves and their communities. I argue that beauty labor can be used to help dismantle anti-fat bias. Using Kathleen LeBesco's framework of agency and identity, coupled with Jeannine Gailey's assessment of the unique perception of fatness as simultaneously hypervisible and hyperinvisible, I argue that participants in the "Fuck Flattering!" movement shape their identities and advocate for fat communities by forcing society to acknowledge their visibility and worth. In my third chapter, I consider representations of fatness in popular media, arguing that we can best achieve fat visibility through centering imperfect representations of fatness. I use Anne Eaton's "Taste in Bodies and Fat Oppression" as a starting point. In this paper, Eaton argues that distaste for fat bodies has an affective element of disgust that we must address to mitigate anti-fatness. Eaton argues that we must habitually engage with vivid and engaging representations that encourage us to see fat bodies as likable and attractive. I argue that while this approach has worthwhile aims, it risks leaving behind those fat bodies which we cannot bring ourselves to see as likeable or attractive. To better combat our distaste for fat bodies, I argue that we must show fat people as complexly as we show thin characters onscreen, highlighting the pluralities of ways to exist as a fat person. Lastly, in my fourth chapter I discuss how to appropriately engage with marginalized communities as a member of a dominant group or identity. I examine the co-optation of the body positivity movement, outline the ethical harms that result from said co-optation, and discuss potential avenues for moving forward with the movement given its co-optation. I argue that in order to fully address the myriad levels of goals of the original body positivity movement, none of these three alternatives is sufficient, as each misses a crucial element of the original body positivity movement or asks participants to have too narrow of an attitude towards their own body. Given the shortcomings of these movements, I argue we should move forward from the body positivity movement’s co-optation by employing a modified framework of Aubrey Gordon’s concept of fat justice, one which also makes room to recognize the importance of fat people being able to experiment with beauty and see themselves as beautiful. (shrink)

On the basis of internet forum and press media data, this article studies the expression of hostile attitudes towards multilingualism and multiculturalism in the context of debates about immigration. The forum data are drawn from the BBC’s Have Your Say website, which is a moderated forum that excludes polemical and abusive postings. Nevertheless, it still seems to provide its users ample opportunity for airing strongly anti-immigrant attitudes. The narratives in which these attitudes are being expressed are exemplary stories of (...) the posters’ supposed encounters with the use of foreign languages in the street, in the workplace or at school. This presence of foreign languages in the British public sphere is evaluated as being problematic and is “explained” as a result of mass immigration, which serves to reinforce the scenario of a culture mix that will destroy British “home” culture. Media coverage of immigration partly supports such vilification of multilingualism and multiculturalism, and the reports and comments often seem to be drawn from similar narrative-argumentative templates as those of the discussions on Have Your Say. In conclusion, we argue that counterspeech informed by Critical Discourse Analysis has to develop alternative narratives and figurative scenarios that question the bias against linguistic and cultural diversity. (shrink)

This paper focuses on Sinophobia which is usually not expressed openly in the public service media. The Sinophobia discourse intensified in 2020 in connection with the coverage of the pandemic. How are anti-Chinese attitudes expressed in the news discourse of the Czech Radio and Czech Television? Examples from a broader analysis of the representation of the SARS-COV-2 pandemic in news and journalism programmes are given. Inductive qualitative research methods (discourse and semiotic analysis) were used to detect subtle nuances of (...) meaning and reveal implicit presuppositions. This study focuses on the manifestations of bias, e.g., the ideologically grounded attitudes of the speakers. The anti-Chinese statements (about poor hygiene habits and eating wild animals) were most often mentioned in connection with the origin of the coronavirus, vaccination, and China expansive policy. Sinophobic messages were built on the opposition of Us and Them, which is, according to van Dijk (2000), the core of new racism. In spite of the fact that the open hate speech and systematic bias (intentional implications, obvious evaluation or signposting) were not found in the researched sample, the analysis identified the presence of Sinophobic statements in both public service media. (shrink)

When fat people are depicted in popular media, we often take their behavior to be representative of all fat people. How one fat person acts becomes representative of a broader pattern of behavior that all fat people are presumed to share, shaping the way we understand fatness. This way of generalizing presents fatness as a singular experience, reducing fat people to a monolithic narrative that often reinforces anti-fat bias. How do we avoid this reduction? How can we responsibly (...) depict fat characters without perpetuating negative stereotypes about real fat people? Using the case of “Fat Thor” from Avengers: Endgame, I propose the beginnings of an account of responsible artistic agency which can be used to improve the ways that marginalized communities are depicted in art, with a particular focus on fat communities. Central to this account are two features: inclusion of and deference to members of the communities depicted from a variety of backgrounds throughout the production process, and mindfulness of the preexisting narrative web built around the communities depicted. I will use this discussion to highlight the need for a drastic shift in how we consider marginalized populations in art—in reimagining both who tells their stories, and what stories are told on their behalf. (shrink)

The use of social media is becoming a necessary daily activity in today’s society. Excessive and compulsive use of social media may lead to social media addiction. The main aim of this study was to investigate whether demographic factors, impulsivity, self-esteem, emotions, and attentional bias were risk factors associated with SMA. The study was conducted in a non-clinical sample of college students, ranging in age from 16 to 23 years, including 277 females and 243 males. All (...) participants completed a survey measuring impulsivity, self-esteem, anxiety, depression, social anxiety, loneliness, and attentional bias. The final hierarchical regression model indicated significant risk factors for SMA with an accuracy of 38%. The identified set of associated risk factors included female gender, impulsivity, self-esteem, anxiety, social anxiety, and negative attentional biases. Finally, a discussion of the results is presented, followed by corresponding recommendations for future studies. (shrink)

Every man, the journalist -- Balancing digital identities -- Evaluating websites for credibility -- Attribution and anonymous sources -- Credibility and personal bias -- Glossary -- For more information -- For further reading.

In the Fall 1988 issue of Informal Logic, John McMurtry suggests that the current mass communication system "obstructs and deforms our thinking and our reasoning by a general system of deception" (p. 133). This essay suggests that McMurtry's view of the mass media is inaccurate. The mass media needs to make choices about what material it includes; McMurtry's description of the media could be explained by a rational theory of media agenda setting. Finally. it is argued (...) that critical thinkers need to go beyond the mass media to make decisions; the mass media should not be expected to provide all arguments and viewpoints. (shrink)