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Analysing the Extent of Misinformation in Cancer Related Tweets

Authors

Rakesh Bal,Sayan Sinha,Swastika Dutta,Rishabh Joshi,Sayan Ghosh,Ritam Dutt

Indian Institute of Technology Kharagpur,Indian Institute of Technology Kharagpur,Indian Institute of Technology Kharagpur,Carnegie Mellon University,University of North Carolina at Chapel Hill,Carnegie Mellon University


Proceedings:

Vol. 14 (2020): Fourteenth International AAAI Conference on Web and Social Media

Volume

Issue:

Vol. 14 (2020): Fourteenth International AAAI Conference on Web and Social Media

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Poster Papers

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Abstract:

Twitter has become one of the most sought after places to discuss a wide variety of topics, including medically relevant issues such as cancer. This helps spread awareness regarding the various causes, cures and prevention methods of cancer. However, no proper analysis has been performed, which discusses the validity of such claims. In this work, we aim to tackle the misinformation spread in such platforms. We collect and present a dataset regarding tweets which talk specifically about cancer and propose an attention-based deep learning model for automated detection of misinformation along with its spread. We then do a comparative analysis of the linguistic variation in the text corresponding to misinformation and truth. This analysis helps us gather relevant insights on various social aspects related to misinformed tweets.

DOI:

10.1609/icwsm.v14i1.7359


ICWSM

Vol. 14 (2020): Fourteenth International AAAI Conference on Web and Social Media