A5077984166- Misinformation and Its Impacts
- Spam and Phishing Detection
- Topic Modeling
- Social Media and Politics
- Communication and COVID-19 Impact
- Advanced Text Analysis Techniques
- Media Influence and Politics
- Hate Speech and Cyberbullying Detection
- Algorithms and Data Compression
- Opinion Dynamics and Social Influence
- Machine Learning and Algorithms
- Error Correcting Code Techniques
- Network Security and Intrusion Detection
University of Valparaíso
2012-2024
Federico Santa María Technical University
2020-2024
Valparaiso University
2022
University of Chile
2012
Abstract The rise of bots that mimic human behavior represents one the most pressing threats to healthy information environments on social media. Many are designed increase visibility low-quality content, spread misinformation, and artificially boost reach brands politicians. These can also disrupt civic action coordination, such as by flooding a hashtag with spam undermining political mobilization. Social media platforms have recognized these malicious bots’ risks implemented strict...
This study analyzes the discourse of reporters, editors and audiences in focus groups in-depth interviews, examining expectations on journalists when facing misinformation. While both agree that journalistic information is critical, how this expectation met varies. On one hand, audience's way knowing involves diverse assessments regarding valuable information; also, they are dubious about journalists' intentions. other exhibit a limited understanding informational needs encounter practical...
Information disorders on social media can have a significant impact citizens’ participation in democratic processes. To better understand the spread of false and inaccurate information online, this research analyzed data from Twitter, Facebook, Instagram. The were collected verified by professional fact-checkers Chile between October 2019 2021, period marked political health crises. study found that spreads faster reaches more users than true Twitter Facebook. Instagram, other hand, seemed...
Disinformation is one of the main threats that loom on social networks. Detecting disinformation not trivial and requires training maintaining fact-checking teams, which labor-intensive. Recent studies show propagation structure claims user messages allows a better understanding rumor dynamics. Despite these findings, availability verified structural data low. This paper presents new dataset with Twitter by fact-checkers along retweets replies. The contains checked during Chilean outbreak,...