IARA - An Architectural Model to Assist the Development of Advising Bots for Misinformation Detection

• Macaio Cacabro UFC
• Wellington Franco UFC
• José Maria Monteiro UFC
• Javam Machado UFC

Resumo

In the last few years, the widespread dissemination of misinformation through social platforms has become a critical issue. In several developing countries, such as Brazil, India, and Mexico, instant messaging apps, including WhatsApp and Telegram, have been one of the main sources of misinformation. These apps offer a significant resource: public groups. However, many of these groups are used to spread misinformation, especially as part of well-organized political or ideological campaigns. In this paper, we propose an architectural model, called IAra, to assist in the development of pro-active chatbots for the automatic detection of misinformation and media education. Additionally, following the proposed architectural model, we have developed a proactive chatbot called IAraBot, which detects the presence of misinformation automatically and in real-time. Moreover, the IAraBot provides hints and practical examples for users to develop the necessary skills to critically identify content containing misinformation. The IAraBot was developed for WhatsApp and Telegram platforms.

Palavras-chave: misinformation detection, pro-active chatbots, machine learning

Referências

Theodora Dame Adjin-Tettey. 2022. Combating fake news, disinformation, and misinformation: Experimental evidence for media literacy education. Cogent Arts & Humanities 9, 1 (2022), 2037229. https://doi.org/10.1080/23311983.2022.2037229

Thales Aguiar de Lima and Márjory Da Costa-Abreu. 2020. A survey on automatic speech recognition systems for Portuguese language and its variations. Computer Speech & Language 62 (2020), 101055. https://doi.org/10.1016/j.csl.2019.101055

Adrianne Almeida and Fabiola Oliveira Araújo. 2021. AnneBot: Um Chatbot para Auxiliar no Processo de Ensino e Aprendizagem do Pensamento Computacional. In Anais Estendidos do I Simpósio Brasileiro de Educação em Computação (On-line). SBC, Porto Alegre, RS, Brasil, 12–13. https://doi.org/10.5753/educomp_estendido.2021.14851.

Geraldine Leal Martins Almeida, Mileisy de Oliveira Lima, Advanusia Santos Silva de Oliveira, and Alexandre Meneses Chagas. 2022. A EDUCAÇÃO MIDIÁTICA E O COMBATE AS FAKE NEWS. Revista Ibero-Americana de Humanidades, Ciências e Educação 8, 5 (maio 2022), 1470–1480. https://doi.org/10.51891/rease.v8i5.5564

Ram G. Athreya, Axel-Cyrille Ngonga Ngomo, and Ricardo Usbeck. 2018. Enhancing Community Interactions with Data-Driven Chatbots–The DBpedia Chatbot. In Companion Proceedings of the The Web Conference 2018 (Lyon, France) (WWW ’18). International World Wide Web Conferences Steering Committee, Republic and Canton of Geneva, CHE, 143–146. https://doi.org/10.1145/3184558.3186964

Vinícius Nunes Barbosa, Francisco Mendes Mendes Neto, Sebastiao Alves Filho, and Lenardo Silva. 2022. A Comparative Study of Machine Learning Algorithms for the Detection of Fake News on the Internet. In XVIII Brazilian Symposium on Information Systems (Curitiba, Brazil) (SBSI). Association for Computing Machinery, New York, NY, USA, Article 39, 8 pages. https://doi.org/10.1145/3535511.3535550

Lucas Cabral, José Maria S. Monteiro, José Wellington Franco da Silva, César Lincoln Cavalcante Mattos, and Pedro Jorge Chaves Mourão. 2021. FakeWhastApp.BR: NLP and Machine Learning Techniques for Misinformation Detection in Brazilian Portuguese WhatsApp Messages. In International Conference on Enterprise Information Systems

João M. M. Couto, Isadora Salles, Breno C. Pimenta, Samuel Assis, Leandro Araújo Silva, Julio C. S. Reis, and Fabrício Benevenuto. 2022. Detecção Automática de Desinformação Relacionada à Covid-19 no Brasil. In 2022: Proceedings of the 37th Brazilian Symposium on Databases, SBBD 2022, Buzios, Brazil, September 19 -23, 2022. SBC, 164–176. https://doi.org/10.5753/sbbd.2022.224326

João Cruz, Millas Avelar, Matheus Viana, Elisa Albergaria, Dárlinton Carvalho, and Leonardo Rocha. 2020. Creating an Academic Conversational Agent for Dynamic Information Retrieval. In Anais do XVI Simpósio Brasileiro de Sistemas de Informação (Evento Online). SBC, Porto Alegre, RS, Brasil. https://doi.org/10.5753/sbsi.2020.13781

Lucas S. de Paula, Taisa G. Gonçalves, Thatiana V. R. B. Fernandes, and Guilherme H. Travassos. 2019. PipaBot: um canal de comunicação para o PIPA UFRJ. In Anais Estendidos do XXV Simpósio Brasileiro de Sistemas Multimídia e Web (Florianópolis). SBC, Porto Alegre, RS, Brasil, 103–107. https://doi.org/10.5753/webmedia_estendido.2019.8146.

Ivandro Claudino de Sá, Luciano Galic, Wellington Franco, Thiago Gadelha, José Maria Monteiro, and Javam C. Machado. 2023. BATMAN: A Big Data Platform for Misinformation Monitoring. In Proceedings of the 25th International Conference on Enterprise Information Systems, ICEIS 2023, Volume 1, Prague, Czech Republic, April 24-26, 2023, Joaquim Filipe, Michal Smialek, Alexander Brodsky, and Slimane Hammoudi (Eds.). SCITEPRESS, 237–246. https://doi.org/10.5220/0011995500003467

Ankur Gupta, Neeraj Kumar, Purnendu Prabhat, Rajesh Gupta, Sudeep Tanwar, Gulshan Sharma, Pitshou N. Bokoro, and Ravi Sharma. 2022. Combating Fake News: Stakeholder Interventions and Potential Solutions. IEEE Access 10 (2022), 78268–78289. https://doi.org/10.1109/ACCESS.2022.3193670

Ankur Gupta, Yash Varun, Prarthana Das, Nithya Muttineni, Parth Srivastava, Hamim Zafar, Tanmoy Chakraborty, and Swaprava Nath.2021. TruthBot: An Automated Conversational Tool for Intent Learning, Curated Information Presenting, and Fake News Alerting. CoRR abs/2102.00509 (2021). arxiv:2102.00509 [link]

Manoel Junior, Philipe F. Melo, Ana Paula Couto da Silva, Fabrício Benevenuto, and Jussara M. Almeida. 2021. Towards Understanding the Use of Telegram by Political Groups in Brazil. In WebMedia ’21: Brazilian Symposium on Multimedia and the Web, Belo Horizonte, Minas Gerais, Brazil, November 5-12, 2021, Adriano César Machado Pereira and Leonardo Chaves Dutra da Rocha (Eds.). ACM, 237–244. https://doi.org/10.1145/3470482.3479640

Nayyar Ahmed Khan and Jawad Albatein.2021. COVIBOT- An intelligent WhatsApp based advising bot for Covid-19. (2021)

David M. J. Lazer, Matthew A. Baum, Yochai Benkler, Adam J. Berinsky, Kelly M. Greenhill, Filippo Menczer, Miriam J. Metzger, Brendan Nyhan, Gordon Pennycook, David Rothschild, Michael Schudson, Steven A. Sloman, Cass R. Sunstein, Emily A. Thorson, Duncan J. Watts, and Jonathan L. Zittrain. 2018. The science of fake news. Science 359, 6380 (2018), 1094–1096. https://doi.org/10.1126/science.aao2998 arXiv: [link]

Cristina Lopez, Amanda Richardson, Katherine Marsh, and Lauren Alvarez. 2021. ANTIE: The Activism Chatbot. In Proceedings of the 52nd ACM Technical Symposium on Computer Science Education (Virtual Event, USA) (SIGCSE ’21). Association for Computing Machinery, New York, NY, USA, 1383. https://doi.org/10.1145/3408877.3439693

M. Kilian Markus Kattenbeck, M. Ferstl, F. Alt, and B. Ludwig.2016. Airbot: Using a Work Flow Model for Proactive Assistance in Public Spaces. Proceedings of the 20th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct, 213–220

Antônio Diogo Forte Martins, Lucas Cabral, Pedro Jorge Chaves Mourão, José Maria Monteiro, and Javam C. Machado. 2021. Detection of Misinformation About COVID-19 in Brazilian Portuguese WhatsApp Messages. In Natural Language Processing and Information Systems - 26th International Conference on Applications of Natural Language to Information Systems, NLDB 2021, Saarbrücken, Germany, June 23-25, 2021, Proceedings(Lecture Notes in Computer Science, Vol. 12801), Elisabeth Métais, Farid Meziane, Helmut Horacek, and Epaminondas Kapetanios (Eds.). Springer, 199–206. https://doi.org/10.1007/978-3-030-80599-9_18

Antônio Diogo Forte Martins, Lucas Cabral, Pedro Jorge Chaves Mourão, José Maria Monteiro, and Javam C. Machado. 2021. Detection of Misinformation about COVID-19 in Brazilian Portuguese WhatsApp Messages Using Deep Learning. In 2021: Proceedings of the 36th Brazilian Symposium on Databases, SBBD 2021, Rio de Janeiro, Brazil (Online), October 4-8, 2021. SBC, 85–96. https://doi.org/10.5753/sbbd.2021.17868

Jamshed Memon, Maira Sami, Rizwan Ahmed Khan, and Mueen Uddin. 2020. Handwritten Optical Character Recognition (OCR): A Comprehensive Systematic Literature Review (SLR). IEEE Access 8 (2020), 142642–142668. https://doi.org/10.1109/ACCESS.2020.3012542

Marcos Paulo Moraes, Jonice de Oliveira Sampaio, and Anderson Cordeiro Charles. 2019. Data mining applied in fake news classification through textual patterns. In Proceedings of the 25th Brazillian Symposium on Multimedia and the Web. 321–324.

Estevon Nagumo, Lúcio França Teles, and Lucélia de Almeida Silva. 2022. Educação e Desinformação: Letramento Midiático, Ciência e Diálogo. ETD Educação Temática Digital 24 (01 2022), 220 – 237. [link].

Julio C. S. Reis and Fabrício Benevenuto. 2021. Supervised Learning for Misinformation Detection in WhatsApp. In WebMedia ’21: Brazilian Symposium on Multimedia and the Web, Belo Horizonte, Minas Gerais, Brazil, November 5-12, 2021, Adriano César Machado Pereira and Leonardo Chaves Dutra da Rocha (Eds.). ACM, 245–252. https://doi.org/10.1145/3470482.3479641

Julio C. S. Reis, Philipe de Freitas Melo, Kiran Garimella, and Fabrício Benevenuto. 2020. Detecting Misinformation on WhatsApp without Breaking Encryption. CoRR abs/2006.02471 (2020). arXiv:2006.02471 [link]

Gustavo Resende, Philipe Melo, Hugo Sousa, Johnnatan Messias, Marisa Vasconcelos, Jussara Almeida, and Fabrício Benevenuto. 2019. (Mis)Information Dissemination in WhatsApp: Gathering, Analyzing and Countermeasures. https://doi.org/10.1145/3308558.3313688

S Reshmi and Balakrishnan.2016. Implementation of an inquisitive chatbot for database supported knowledge bases. Kochi 682 022, India, 1174–1178

S. Reshmi and K. Balakrishnan. 2016. Implementation of an inquisitive chatbot for database supported knowledge bases.Sādhanā 41 (2016), 1173–1178

Evandro Eduardo Seron Ruiz. 2020. Fake News Detection on Fake. Br Using Hierarchical Attention Networks. In Computational Processing of the Portuguese Language: 14th International Conference, PROPOR 2020, Evora, Portugal, March 2–4, 2020, Proceedings, Vol. 12037. Springer Nature, 143

Katlen Silva, Rodrigo Tierno, Sandra Branchine, Douglas Vilaça, and Fábio Henrique Oliveira. 2021. Desenvolvimento de ferramenta de chatbot como solução para a comunicação do IFB. In Anais Estendidos do XVII Simpósio Brasileiro de Sistemas de Informação (On-line). SBC, Porto Alegre, RS, Brasil, 185–188. https://doi.org/10.5753/sbsi.2021.15375

Qi Su, Mingyu Wan, Xiaoqian Liu, and Chu-Ren Huang. 2020. Motivations, Methods and Metrics of Misinformation Detection: An NLP Perspective. Natural Language Processing Research 1 (2020), 1–13. Issue 1-2. https://doi.org/10.2991/nlpr.d.200522.001

Andreas Wortmann, Olivier Barais, Benoit Combemale, and Manuel Wimmer. 2020. Modeling Languages in Industry 4.0: An Extended Systematic Mapping Study. Softw. Syst. Model. 19, 1 (jan 2020), 67–94. https://doi.org/10.1007/s10270-019-00757-6

Rui Yan and Dongyan Zhao. 2018. Smarter Response with Proactive Suggestion: A New Generative Neural Conversation Paradigm(IJCAI’18). AAAI Press, 4525–4531

Qiyu Zhi and Ronald Metoyer. 2020. GameBot: A Visualization-Augmented Chatbot for Sports Game. In Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems (Honolulu, HI, USA) (CHI EA ’20). Association for Computing Machinery, New York, NY, USA, 1–7. https://doi.org/10.1145/3334480.3382794