"The proliferation of misinformation on social media platforms (SMPs) poses a significant danger to public health, social cohesion and ultimately democracy. Previous research has shown how social correction can be an effective way to curb misinformation, by engaging directly in a constructive dialog
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ue with users who spread – often in good faith – misleading messages. Although professional fact-checkers are crucial to debunking viral claims, they usually do not engage in conversations on social media. Thereby, significant effort has been made to automate the use of fact-checker material in social correction; however, no previous work has tried to integrate it with the style and pragmatics that are commonly employed in social media communication. To fill this gap, we present VerMouth, the first large-scale dataset comprising roughly 12 thousand claim-response pairs (linked to debunking articles), accounting for both SMP-style and basic emotions, two factors which have a significant role in misinformation credibility and spreading. To collect this dataset we used a technique based on an author-reviewer pipeline, which efficiently combines LLMs and human annotators to obtain high-quality data. We also provide comprehensive experiments showing how models trained on our proposed dataset have significant improvements in terms of output quality and generalization capabilities." (Abstract)
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"This research identifies an Indonesian-language Twitter disinformation campaign posting pro-government materials on Indonesian governance in Papua, site of a protracted ethno-nationalist, pro-independence insurgency. Curiously, the campaign does not employ common disinformation tactics such as hash
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tag flooding or the posting of clickbait with high engagement potential, nor does it seek to build user profiles that would make the accounts posting this material appear as important participants in a debate over Papua’s status. The campaign simply employs synchronous, duplicate posts by ostensibly distinct authors to ensure that a significant proportion of posts mentioning contentious special autonomy arrangements are pro-government. Despite lacking sophistication, the scale of this information campaign in overall Twitter discussion of special autonomy adds to concerns about the ability of pro-government actors to employ disinformation to constrict political discourse in Southeast Asia." (Abstract)
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"Story Circle is the first collection ever devoted to a comprehensive international study of the digital storytelling movement, exploring subjects of central importance on the emergent and ever-shifting digital landscape. It covers consumer-generated content, memory grids, the digital storytelling y
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outh movement, participatory public history, audience reception, videoblogging and microdocumentary. It pinpoints who is telling what stories where, on what terms, and what they look and sound like. And it explores the boundaries of digital storytelling from China and Brazil to Western Europe and Australia." (Publisher description)
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