Please use this identifier to cite or link to this item:
http://repositorio.ufc.br/handle/riufc/78306
Type: | TCC |
Title: | A Real-Time Platform to Monitoring Misinformation on Telegram |
Title in English: | A Real-Time Platform to Monitoring Misinformation on Telegram |
Authors: | Gadelha, Thiago da Costa |
Advisor: | Monteiro Filho, José Maria da Silva |
Keywords in English : | Misinformation;Monitoring;Telegram;Social Media |
Knowledge Areas - CNPq: | CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO |
Issue Date: | 2023 |
Citation: | GADELHA, Thiago da Costa. A Real-Time Platform to Monitoring Misinformation on Telegram. 2023. 9 f. Trabalho de Conclusão de Curso (Graduação em Ciência da Computação) – Centro de Ciências, Universidade Federal do Ceará, Fortaleza, 2023. |
Abstract: | The large-scale dissemination of misinformation through social media has become a critical issue, harming public health, social stability and democracy. In Brazil, 79.9% of the population uses social networks, and the Telegram is present in 65% of the country’s smartphones. Due to its popularization, many groups have used this instant messaging application to spread misinformation, especially as part of articulated political or ideological campaigns. Telegram provides two essential features that facilitate the spread of misinformation, public groups and channels. Through these resources, false information can deceive thousands of people in a short time. In this context, we present MST, a Real-Time platform to find, gather, analyze and visualize misinformation on Telegram. To evaluate the proposed platform, we built a dataset from the Brazilian general election campaign in 2022, obtained from Telegram public chat groups and channels. |
URI: | http://repositorio.ufc.br/handle/riufc/78306 |
Advisor's Lattes: | http://lattes.cnpq.br/9790693300026949 |
Access Rights: | Acesso Aberto |
Appears in Collections: | CIÊNCIA DA COMPUTAÇÃO - Monografias |
Files in This Item:
File | Description | Size | Format | |
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2023_tcc_tcgadelha.pdf | 6,47 MB | Adobe PDF | View/Open |
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