2021/01/31 by Ankur Gupta, Yash Varun, Gupta, Ankur +13 · 1 citation
Computer Science · Social Sciences · #AI in Service Interactions #Computation and Language (cs.CL) #FOS: Computer and information sciences #Misinformation and Its Impacts #Social and Information Networks (cs.SI) #Topic Modeling
paper · pdf · doi:10.48550/arxiv.2102.00509
openalex publication_date 2021/01/31 · openalex created_date 2021/02/15 · openalex updated_date 2026/07/28
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.