Examining Protest as An Intervention to Reduce Online Prejudice: A Case Study of Prejudice Against Immigrants

Wei, Kai; Lin, Yu‐Ru; Yan, Muheng

doi:10.1145/3366423.3380307

Cited by 9 publications

(8 citation statements)

References 28 publications

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“…The picture was less clear for associations between the consumption of digital media and political knowledge. Still, the majority of associations point in beneficial directions and were found in both cross-sectional surveys [92][93][94][95][96][97][98][99] and panel surveys [100][101][102] . Studies linking web-tracking and survey data showed increased learning about politics 103 , but also a turning away from important topics 104 , whereas other experiments demonstrated an overall beneficial effect of digital media on issue salience 105 .…”

Section: Inset)mentioning

confidence: 98%

A systematic review of worldwide causal and correlational evidence on digital media and democracy

et al. 2022

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One of today’s most controversial and consequential issues is whether the global uptake of digital media is causally related to a decline in democracy. We conducted a systematic review of causal and correlational evidence (N = 496 articles) on the link between digital media use and different political variables. Some associations, such as increasing political participation and information consumption, are likely to be beneficial for democracy and were often observed in autocracies and emerging democracies. Other associations, such as declining political trust, increasing populism and growing polarization, are likely to be detrimental to democracy and were more pronounced in established democracies. While the impact of digital media on political systems depends on the specific variable and system in question, several variables show clear directions of associations. The evidence calls for research efforts and vigilance by governments and civil societies to better understand, design and regulate the interplay of digital media and democracy.

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Section: Inset)mentioning

confidence: 98%

A systematic review of worldwide causal and correlational evidence on digital media and democracy

et al. 2022

View full text Add to dashboard Cite

show abstract

“…The picture was less clear for associations between the consumption of digital media and political knowledge. Still, the majority of associations point in beneficial directions and were found in both cross-sectional surveys [88][89][90][91][92][93][94][95] and panel surveys [96][97][98]. Studies linking web-tracking and survey data showed increased learning about politics [99], but also a turning away from important topics [100], whereas other experiments demonstrated an overall beneficial effect of digital media on issue salience [101].…”

Section: Few Articles Have Shed Light On Causal Effects Between Social Media Use and Trust A Field Experiments In The Unitedmentioning

confidence: 99%

A Systematic Review of Worldwide Causal and Correlational Evidence on Digital Media and Democracy

Lorenz-Spreen¹,

Oswald²,

Lewandowsky³

et al. 2021

Preprint

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One of today's most controversial and consequential questions is whether the rapid, worldwide uptake of digital media is causally related to a decline in democracy. We conducted a systematic review of causal and correlational evidence (N=498 articles) on the link between digital media and different political variables, such as trust, polarization or news consumption. We further focused on the subset of articles that employed causal inference methods. Across methods, the articles report associations between digital media use and most political variables. Some associations, such as increases in political participation and information consumption, are likely to be beneficial for democracy and were often observed in the Global South and emerging democracies. Other consistently reported associations, such as declining political trust, advantages for populists, and growing polarization, are likely to be detrimental to democracy and were more pronounced in established democracies. We conclude that while the impact of digital media on democracy depends on the specific political variable and the political system in question, several variables show clear directions of associations. We believe that the evidence calls for further research efforts and vigilance by governments and civil societies to better understand and actively design the intimate interplay of digital media and democracy.

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“…Information shared on social media might contain various forms of manipulation to stir targeted emotion in the reader. Researchers have focused on using crowdsourced methods for subjective judgments like identifying emotionally manipulative language (EML) [10], propaganda [1], bias [25], or prejudice [28]. The state-of-theart approach to identify emotionally manipulative language is based on a crowdsourced method that neutralizes the effect of intrinsically manipulative language by measuring EML through comparison.…”

Section: Related Workmentioning

confidence: 99%

Zero-shot Entity and Tweet Characterization with Designed Conditional Prompts and Contexts

Srivatsa¹,

Mohan²,

Neha³

et al. 2022

Preprint

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Online news and social media have been the de facto mediums to disseminate information globally from the beginning of the last decade. However, bias in content and purpose of intentions are not regulated, and managing bias is the responsibility of content consumers. In this regard, understanding the stances and biases of news sources towards specific entities becomes important. To address this problem, we use pretrained language models, which have been shown to bring about good results with no task-specific training or few-shot training. In this work, we approach the problem of characterizing Named Entities and Tweets as an open-ended text classification and open-ended fact probing problem. We evaluate the zero-shot language model capabilities of Generative Pretrained Transformer 2 (GPT-2) to characterize Entities and Tweets subjectively with human psychology-inspired and logical conditional prefixes and contexts. First, we fine-tune the GPT-2 model on a sufficiently large news corpus and evaluate subjective characterization of popular entities in the corpus by priming with prefixes. Second, we fine-tune GPT-2 with a Tweets corpus from a few popular hashtags and evaluate characterizing tweets by priming the language model with prefixes, questions, and contextual synopsis prompts. Entity characterization results were positive across measures and human evaluation.

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Examining Protest as An Intervention to Reduce Online Prejudice: A Case Study of Prejudice Against Immigrants

Cited by 9 publications

References 28 publications

A systematic review of worldwide causal and correlational evidence on digital media and democracy

A systematic review of worldwide causal and correlational evidence on digital media and democracy

A Systematic Review of Worldwide Causal and Correlational Evidence on Digital Media and Democracy

Zero-shot Entity and Tweet Characterization with Designed Conditional Prompts and Contexts

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