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Images and Misinformation in Political Groups: Evidence from WhatsApp in India

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arxiv 2005.09784 v1 pith:32AS3QTQ submitted 2020-05-19 cs.SI cs.CY

Kiran Garimella , Dean Eckles This is my paper · ORCID
classification cs.SIcs.CY
keywords imagesmisinformationwhatsappgroupsindiasharedaroundbrittle
verification ladder T0 review T1 audit T2 compute T3 formal
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WhatsApp is a key medium for the spread of news and rumors, often shared as images. We study a large collection of politically-oriented WhatsApp groups in India, focusing on the period leading up to the 2019 Indian national elections. By labeling samples of random and popular images, we find that around 13% of shared images are known misinformation and most fall into three types of images. Machine learning methods can be used to predict whether a viral image is misinformation, but are brittle to shifts in content over time.

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    A new benchmark dataset and two tasks let researchers test whether AI systems can judge if a news image's recorded location and date match the article, with current chatbots scoring 64-81% on location but 42-58% on date.

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