Modeling Malicious Behaviors and Fake News Dissemination on Social Networks
| Autor: | Hiroshi Yoshiura, Masatsugu Ichino, Kento Yoshikawa |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Ground truth
Social network business.industry Computer science media_common.quotation_subject ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS Perspective (graphical) Internet privacy ComputingMilieux_MANAGEMENTOFCOMPUTINGANDINFORMATIONSYSTEMS Countermeasure Social media Fake news Imitation business media_common |
| Zdroj: | Responsible AI and Analytics for an Ethical and Inclusive Digitized Society ISBN: 9783030854461 I3E |
| DOI: | 10.1007/978-3-030-85447-8_53 |
| Popis: | As social media has become widely used, fake news has become a serious problem. A representative countermeasure is fake news detection. However, this countermeasure is not sufficient because people using social media tend to ignore facts that contradict their beliefs. To develop effective countermeasures, it is necessary to clarify the influence of fake news and the nature of its dissemination from the perspective of communication. In this paper, we propose two models explaining the dissemination of opinions about fake news: one in which the presence of the ground truth is assumed and one in which it is not assumed. In both models, an attacker disseminates fake news by imitating or hijacking target accounts. In evaluations on real-world social networks, the model in which the ground truth is assumed demonstrates that, contrary to our expectations, account imitation is a more harmful attack than account hijacking. The model in which ground truth is not assumed demonstrates that both account imitation and account hijacking are harmful attacks. |
| Databáze: | OpenAIRE |
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