SIHCSOC-PHApr 20, 2015

Trend of Narratives in the Age of Misinformation

arXiv:1504.05163v1121 citations
Originality Synthesis-oriented
AI Analysis

This research addresses the spread of misinformation on social media, providing insights into user behavior for policymakers and platforms, though it is incremental as it builds on existing studies of online narratives.

The study analyzed consumption patterns of conspiracy topics on Italian Facebook, identifying four main categories (environment, diet, health, geopolitics) and finding that user persistence varies by topic, with geopolitics users being most persistent, and active users tend to engage across all topics.

Social media enabled a direct path from producer to consumer of contents changing the way users get informed, debate, and shape their worldviews. Such a {\em disintermediation} weakened consensus on social relevant issues in favor of rumors, mistrust, and fomented conspiracy thinking -- e.g., chem-trails inducing global warming, the link between vaccines and autism, or the New World Order conspiracy. In this work, we study through a thorough quantitative analysis how different conspiracy topics are consumed in the Italian Facebook. By means of a semi-automatic topic extraction strategy, we show that the most discussed contents semantically refer to four specific categories: {\em environment}, {\em diet}, {\em health}, and {\em geopolitics}. We find similar patterns by comparing users activity (likes and comments) on posts belonging to different semantic categories. However, if we focus on the lifetime -- i.e., the distance in time between the first and the last comment for each user -- we notice a remarkable difference within narratives -- e.g., users polarized on geopolitics are more persistent in commenting, whereas the less persistent are those focused on diet related topics. Finally, we model users mobility across various topics finding that the more a user is active, the more he is likely to join all topics. Once inside a conspiracy narrative users tend to embrace the overall corpus.

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