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TruthBot: An Automated Conversational Tool for Intent Learning, Curated Information Presenting, and Fake News Alerting

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arxiv 2102.00509 v1 pith:WJMJQUF3 submitted 2021-01-31 cs.SI cs.CL

Ankur Gupta , Yash Varun , Prarthana Das , Nithya Muttineni , Parth Srivastava , Hamim Zafar , Tanmoy Chakraborty , Swaprava Nath This is my paper
classification cs.SIcs.CL
keywords informationchatbotintenttruthbotconversationalcuratedcurrentlymodule
verification ladder T0 review T1 audit T2 compute T3 formal
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We present TruthBot, an all-in-one multilingual conversational chatbot designed for seeking truth (trustworthy and verified information) on specific topics. It helps users to obtain information specific to certain topics, fact-check information, and get recent news. The chatbot learns the intent of a query by training a deep neural network from the data of the previous intents and responds appropriately when it classifies the intent in one of the classes above. Each class is implemented as a separate module that uses either its own curated knowledge-base or searches the web to obtain the correct information. The topic of the chatbot is currently set to COVID-19. However, the bot can be easily customized to any topic-specific responses. Our experimental results show that each module performs significantly better than its closest competitor, which is verified both quantitatively and through several user-based surveys in multiple languages. TruthBot has been deployed in June 2020 and is currently running.

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  1. Sword and Shield: Uses and Strategies of LLMs in Navigating Disinformation

    cs.HC 2025-06 conditional novelty 6.0 of 10

    In a 25-participant Werewolf-style game, all roles used an LLM chatbot strategically, as a sword for disinformation and a shield against it.

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