Sharing Content Online: the Effects of Likes and Comments on Linguistic Interpretation.

In Patrick Connolly, Sandy Goldberg & Jennifer Saul (eds.), Conversations Online. Oxford University Press (forthcoming)
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Abstract

Bystander information is information about others’ attitudes towards a text (i.e. about whether they agree or disagree with it). Social media platforms force bystander information upon us when we read posts thereon. What effect does this have on how we respond to what we read? The dominant view in the literature is that it changes our minds (the so-called “bandwagon effect”). Simplifying a little: if we see that most people agree (disagree) with what a post says, we are more likely to agree (disagree) with what it says. This paper argues that we should take seriously a competitor view and care about the difference between it and the dominant view. The competitor view proposes that bystander information changes what a text seems to us to say: although bystander information may lead us to change what attitude we express toward a post, that’s not because we’ve changed our attitude toward any fixed content (i.e. fixed thing that the post says). This paper argues that, if this competitor view is correct, then social media is likely to be an especially hazardous place for the practice of sharing content.

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Alex Davies
University of Tartu

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References found in this work

Echo chambers and epistemic bubbles.C. Thi Nguyen - 2020 - Episteme 17 (2):141-161.
How Twitter gamifies communication.C. Thi Nguyen - 2021 - In Jennifer Lackey (ed.), Applied Epistemology. New York, NY: Oxford University Press. pp. 410-436.
The dynamics of vagueness.Chris Barker - 2002 - Linguistics and Philosophy 25 (1):1-36.

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