How Do Social Bots Participate in Misinformation Spread? A Comprehensive Dataset and Analysis
A Weibo dataset of 11,393 misinformation posts and 65,749 social bots reveals bots amplify echo chambers and generate similar content to manipulate opinions.
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A large-scale Weibo dataset linking bots and misinformation offers valuable pattern detection for platform trust, though weakly supervised bot labels and opaque annotation pipelines leave the 65k bot claims unverified and the analysis vulnerable to circularity.
Abstract
Social media platforms provide an ideal environment to spread misinformation, where social bots can accelerate the spread.This paper explores the interplay between social bots and misinformation on the Sina Weibo platform.We construct a large-scale dataset that includes annotations for both misinformation and social bots.From the misinformation perspective, the dataset is multimodal, containing 11,393 pieces of misinformation and 16,416 pieces of verified information.From the social bot perspective, this dataset contains 65,749 social bots and 345,886 genuine accounts, annotated using a weakly supervised annotator.Extensive experiments demonstrate the comprehensiveness of the dataset, the clear distinction between misinformation and real information, and the high quality of social bot annotations.Further analysis illustrates that: (i) social bots are deeply involved in information spread; (ii) misinformation with the same topics has similar content, providing the basis of echo chambers, and social bots would amplify this phenomenon; and (iii) social bots generate similar content aiming to manipulate public opinions.