Lecture notes in networks and systems, Journal Year: 2024, Volume and Issue: unknown, P. 445 - 459
Published: Jan. 1, 2024
Language: Английский
Procedia Computer Science, Journal Year: 2024, Volume and Issue: 238, P. 663 - 670
Published: Jan. 1, 2024
Fake news has become extremely popular in recent years and is widely used social networking. The Internet enabled an unprecedented number speed of exchanges between users. With the exponential growth media, information spreads among individuals at amount speed. Verifying effective ways to combat misinformation. Facilitating online data verification strategy deal with often overwhelming AntiFake a machine-learning-based system that relies solely on its content enables simple, cost-effective, time-efficient verification. equipped professional integration tools. developed uses machine learning techniques automatically identify fraudulent or misleading information, thereby contributing establishing trust published efficiently cost-effectively. results show efficient.
Language: Английский
Citations
5
COVID, Journal Year: 2025, Volume and Issue: 5(3), P. 33 - 33
Published: Feb. 28, 2025
Public health officials reported increases in stigma, discrimination, and verbal physical abuse during the coronavirus (COVID-19) pandemic. This study, conducted Vietnam, examined how fear of virus, self-protective behaviors, threats to loss resources pandemic were associated with post-traumatic stress belief vaccine effectiveness. Participants 380 persons (237 women, 129 men, 14 unreported) who completed measures assessing demographics, stigma experienced pandemic, resource loss, about becoming infected actions avoid illness, stress, COVID-19 vaccination Hierarchical multiple regression showed was positively personal experience, minimizing threat, characteristic support perceived susceptibility COVID-19. Vaccine age, behaviors negatively number people known died due virus. The findings hypotheses extend conservation theory. underscore importance promptly addressing enhancing public education, barriers receiving vaccine.
Language: Английский
Citations
0
Qualitative Market Research An International Journal, Journal Year: 2025, Volume and Issue: unknown
Published: March 10, 2025
Purpose During the postpandemic era, owing to widespread integration of technology, a greater abundance information is circulating among young consumers compared any previous period. Consequently, there exists possibility that disseminated may not be accurate and ultimately prove fake. The purpose this study conceptualize fake news, definition drivers news from perspective in Design/methodology/approach A qualitative was undertaken current study. total 30 interviews were conducted utilizing semistructured questionnaires. audio recorded subsequently transcribed. data analyzed using Gioia methodology. Findings proposes consumers. Further, drawing on attribution theory, three categories reasons for sharing delineated: content related, source related user related. Practical implications Drawing findings study, policymakers other stakeholders working issues can acquaint themselves with underlying reasons. Furthermore, they devise policies prevent news. Social It important practitioners society understand behind combat spread. Originality/value present will contribute literature by understanding who intentionally or unintentionally share Additionally, theory used context dissemination behavior.
Language: Английский
Citations
0
European Journal of Information Systems, Journal Year: 2023, Volume and Issue: unknown, P. 1 - 22
Published: Nov. 1, 2023
Language: Английский
Citations
12
Journalism and Media, Journal Year: 2025, Volume and Issue: 6(1), P. 19 - 19
Published: Feb. 2, 2025
This study addresses public perception of the relationship between artificial intelligence (AI) and disinformation. The level general awareness AI is considered, based on this, an analysis carried out whether it may favor creation distribution false content or, conversely, perceive its potential to counteract information disorders. A survey has been conducted a representative sample Andalusian population aged 15 over (1550 people). results show that 90% have heard AI, although less well known among eldest age group (78%). There consensus helps produce (86%) distribute (84%) fake news. Descriptive analyses no major differences by sex, age, social class, ideology, type activity or size municipality, those educated tend mention these negative effects lesser extent. However, 54% consider help in combating hoaxes, with women, lower class left wing having positive views. Logistic regressions broadly confirm results, showing education, ideology are most relevant factors when explaining opinions about role
Language: Английский
Citations
0
Enterprise Information Systems, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 11, 2025
Language: Английский
Citations
0
Media and Communication, Journal Year: 2025, Volume and Issue: 13
Published: April 8, 2025
Many who believed Covid-19 fake news eschewed vaccines, masks, and social distancing; got unnecessarily infected; died. To detect such news, we follow deceptive writing theory link French hedges modals to validity. As indicate uncertainty, writers can use it include falsehoods while shifting responsibility the audience. Whereas <em>devoir</em> (must) emphasizes certainty truth, <em>falloir </em>(should, need) implies truth but external factors, allowing shirk responsibility. <em>Pouvoir</em> (can) indicates possibility, making less tied or falsehood. We tested this model with 50,000 tweets about during March–August 2020 via mixed response analysis. Tweets modal <em>falloir</em> were more likely than others be false, those true, <em>pouvoir </em>showed no clear truth. of users verification, followers, fewer status updates true. These results extend inform detection algorithms media literacy instruction.
Language: Английский
Citations
0
PLoS ONE, Journal Year: 2024, Volume and Issue: 19(12), P. e0315407 - e0315407
Published: Dec. 19, 2024
Informal education via social media plays a crucial role in modern learning, offering self-directed and community-driven opportunities to gain knowledge, skills, attitudes beyond traditional educational settings. These platforms provide access broad range of learning materials, such as tutorials, blogs, forums, interactive content, making more accessible tailored individual interests needs. However, challenges like information overload the spread misinformation highlight importance digital literacy ensuring users can critically evaluate credibility information. Consequently, significance sentiment analysis has grown contemporary times due widespread utilization means for individuals articulate their viewpoints. Twitter (now X) is well recognized prominent platform that predominantly utilized microblogging. Individuals commonly engage expressing viewpoints regarding events, hence presenting significant difficulty scholars categorize associated with expressions effectively. This research study introduces highly effective technique detecting related COVID-19 pandemic. The fake news during pandemic created public health safety because about virus, its transmission, treatments led confusion distrust among public. introduce techniques methodology this work includes gathering dataset comprising fabricated articles sourced from corpus subjected natural language processing (NLP) cycle. After applying some filters, total five machine classifiers three deep were employed forecast articles, distinguishing between those are authentic fabricated. employs classifiers, namely Support Vector Machine, Logistic Regression, K-Nearest Neighbors, Decision Trees, Random Forest, analyze compare obtained results. Convolutional Neural Networks, Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU) afterwards compares results indicate BiGRU classifier demonstrates high accuracy efficiency, following indicators: 0.91, precision 0.90, recall 0.93, F1-score 0.92. For same algorithm, true negatives, positives came out be 555 580, respectively, whereas, false negatives 81, 68, respectively. In conclusion , highlights effectiveness COVID-19, emphasizing fostering resilience against society. implications higher lifelong learners it potential using advanced help educators institutions process combating promoting critical thinking skills students. By these methods classify develop tools curricula teaching validation, equipping students needed discern context beyond. extrapolate creation society resistant through platforms.
Language: Английский
Citations
3
Multimedia Tools and Applications, Journal Year: 2023, Volume and Issue: 83(16), P. 47319 - 47352
Published: Oct. 26, 2023
Language: Английский
Citations
8
Societies, Journal Year: 2023, Volume and Issue: 13(2), P. 25 - 25
Published: Jan. 26, 2023
Citizens get informed, on a daily basis, from social networks in general and the media particular. Accordingly, are increasingly expressing their concern about phenomena related to disinformation. This article presents an analysis of 159 Chilean that, over 5 years, referred fake news or disinformation 10,699 occasions. Based data science strategies, Queltehue platform was programmed systematically track information posted by (Instagram, Facebook Twitter). The universe obtained (13 million items) filtered with specific query reach relevant posts, which underwent textual computer (LDA) complemented manual strategies multimodal discourse (MDA). Among findings, it is revealed that recurrent themes years have mostly politics health issues. widely explained grounds political period Chile involved at least five electoral processes, addition global COVID-19 pandemic. Regarding analysis, observed when dissemination involves well-known figures such as politicians government authorities, image video figure appears used. In these cases, two occur: (a) opportunity rectify false misinforming statements (b) most reiterated end up reinforcing controversy. view results, seems necessary ask whether this all can be done enough communication do guarantee healthy democratic societies.
Language: Английский
Citations
7