Misinformation detection in social networks using emotion analysis and user behavior analysis DOI

V. Indu,

Sabu M. Thampi

Pattern Recognition Letters, Journal Year: 2024, Volume and Issue: 182, P. 60 - 66

Published: April 14, 2024

Language: Английский

The impact of digital technology, social media, and artificial intelligence on cognitive functions: a review DOI Creative Commons
Mathura Shanmugasundaram,

Arunkumar Tamilarasu

Frontiers in Cognition, Journal Year: 2023, Volume and Issue: 2

Published: Nov. 24, 2023

In our modern society, digital devices, social media platforms, and artificial intelligence (AI) tools have become integral components of daily lives, profoundly intertwined with activities. These technologies undoubtedly brought convenience, connectivity, speed, making lives easier more efficient. However, their influence on brain function cognitive abilities cannot be ignored. This review aims to explore both the positive negative impacts these crucial functions, including attention, memory, addiction, novelty-seeking perception, decision-making, critical thinking, as well learning abilities. The also discusses differential technology across different age groups unique challenges benefits experienced by children, adolescents, adults, elderly. Strategies maximize world while mitigating its potential drawbacks are discussed. provide a comprehensive overview intricate relationship between humans technology. It underscores need for further research in this rapidly evolving field importance informed decision-making regarding engagement support optimal wellbeing era.

Language: Английский

Citations

56

Fake news research trends, linkages to generative artificial intelligence and sustainable development goals DOI Creative Commons
Raghu Raman, Vinith Kumar Nair, Prema Nedungadi

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(3), P. e24727 - e24727

Published: Jan. 24, 2024

In the digital age, where information is a cornerstone for decision-making, social media's not-so-regulated environment has intensified prevalence of fake news, with significant implications both individuals and societies. This study employs bibliometric analysis large corpus 9678 publications spanning 2013–2022 to scrutinize evolution news research, identifying leading authors, institutions, nations. Three thematic clusters emerge: Disinformation in media, COVID-19-induced infodemics, techno-scientific advancements auto-detection. work introduces three novel contributions: 1) pioneering mapping research Sustainable Development Goals (SDGs), indicating its influence on areas like health (SDG 3), peace 16), industry 9); 2) utilization Prominence percentile metrics discern critical economically prioritized areas, such as misinformation object detection deep learning; 3) an evaluation generative AI's role propagation realism raising pressing ethical concerns. These contributions collectively provide comprehensive overview current state future trajectories offering valuable insights academia, policymakers, industry.

Language: Английский

Citations

25

A Survey on the Detection and Impacts of Deepfakes in Visual, Audio, and Textual Formats DOI Creative Commons
Rami Mubarak, Tariq Alsboui, Omar Alshaikh

et al.

IEEE Access, Journal Year: 2023, Volume and Issue: 11, P. 144497 - 144529

Published: Jan. 1, 2023

In the rapidly evolving digital landscape, generation of fake visual, audio, and textual content poses a significant threat to society's trust, political stability, integrity information. The process has been enhanced simplified using Artificial Intelligence techniques, which have termed deepfake . Although attention paid visual audio deepfakes, there is also burgeoning need consider text-based deepfakes. Due advancements in natural language processing large models, potential manipulating reshape online discourse misinformation increased. This study comprehensively examines multifaceted nature impacts deep-fake-generated media. work explains broad implications deepfakes social, political, economic, technological domains. State-of-the-art detection methodologies for all types deepfake are critically reviewed, highlighting unified, real-time, adaptable, generalised solutions. As challenges posed by intensify, this underscores importance holistic approach that intertwines technical solutions with public awareness legislative action. By providing comprehensive overview establishing framework future exploration, seeks assist researchers, policymakers, practitioners navigating complexities phenomena.

Language: Английский

Citations

27

Exploring fake news awareness and trust in the age of social media among university student TikTok users DOI Creative Commons
Duong Hoai Lan,

Minh Tung Tran

Cogent Social Sciences, Journal Year: 2024, Volume and Issue: 10(1)

Published: Jan. 25, 2024

This study explores the awareness of fake news and trust dynamics among University students on TikTok. Utilizing qualitative research through semi-structured interviews with in Vietnam, findings reveal a generally acknowledged presence TikTok, accompanied by varying levels platform's content. Key factors influencing include content creator credibility, user engagement, familiarity creators. Beyond academic implications, this offers practical insights into digital literacy, information consumption habits, susceptibility to university students. The advocates for heightened literacy education, encouraging critical evaluation online content, not only benefiting demographic but contributing broader public awareness.

Language: Английский

Citations

13

The persuasive effects of social cues and source effects on misinformation susceptibility DOI Creative Commons
Cecilie S. Traberg, Trisha Harjani, Jon Roozenbeek

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Feb. 20, 2024

Abstract Although misinformation exposure takes place within a social context, significant conclusions have been drawn about susceptibility through studies that largely examine judgements in vacuum. Bridging the gap between influence research and cognitive science of misinformation, we mechanisms which context impacts across 5 experiments ( N = 20,477). We find cues only impact individual when they perceptions wider consensus, source similarity biases news consumers is high credibility. Specifically, low engagement (‘likes’) reduced relative to control, endorsement increased susceptibility, but discrediting had no impact. Furthermore, political ingroup sources if was credibility, outgroup effect control. This work highlights importance studying processes as (mis)information change embedded world. These findings further underscore need for multifaceted interventions take account false information processed effectively mitigate on public.

Language: Английский

Citations

12

Numbers Do Not Lie: A Bibliometric Examination of Machine Learning Techniques in Fake News Research DOI Creative Commons
Andra Sandu,

Ioana Ioanăș,

Camelia Delcea

et al.

Algorithms, Journal Year: 2024, Volume and Issue: 17(2), P. 70 - 70

Published: Feb. 5, 2024

Fake news is an explosive subject, being undoubtedly among the most controversial and difficult challenges facing society in present-day environment of technology information, which greatly affects individuals who are vulnerable easily influenced, shaping their decisions, actions, even beliefs. In course discussing gravity dissemination fake phenomenon, this article aims to clarify distinctions between news, misinformation, disinformation, along with conducting a thorough analysis widely read academic papers that have tackled topic research using various machine learning techniques. Utilizing specific keywords for dataset extraction from Clarivate Analytics’ Web Science Core Collection, bibliometric spans six years, offering valuable insights aimed at identifying key trends, methodologies, notable strategies within multidisciplinary field. The encompasses examination prolific authors, prominent journals, collaborative efforts, prior publications, covered subjects, keywords, bigrams, trigrams, theme maps, co-occurrence networks, other relevant topics. One noteworthy aspect related extracted remarkable growth rate observed association analyzed indicating impressive increase 179.31%. value, coupled relatively short timeframe, further emphasizes community’s keen interest subject. light these findings, paper draws attention contributions gaps existing literature, providing researchers decision-makers innovative viewpoints perspectives on ongoing battle against spread age information.

Language: Английский

Citations

11

Emotions on Social Media as Catalysts for Change: Epistemic and Motivational Potentialities for Gender Equality DOI Creative Commons
Babette Lagrange

Media and Communication, Journal Year: 2025, Volume and Issue: 13

Published: Jan. 8, 2025

To this day, people still face gender discrimination and battle with injustices. change this, we both need accurate knowledge about these injustices to strive for active change. This article provides a theoretical reflection on how social media, by serving as an accessible platform portray their emotions, can be tool of needs. In terms the topics it discusses, operates at intersection literature digital activism one hand emotions media other. However, I approach using combination multidisciplinary lenses. employ epistemic injustice framework emphasise link between inequality production distribution knowledge. line affect theory, argue that generate novelties have collectivising motivational power. Finally, builds existing research provide space portray, distribute, adopt emotions. The in then combines insights demonstrate media—by allowing expression emotions—can catalyse new With enabling heard seen, online sphere contribute empowerment women fight against

Language: Английский

Citations

1

The generative AI weapon of mass destruction: Evolving disinformation threats, vulnerabilities, and mitigation frameworks DOI

Michael Mylrea

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 315 - 347

Published: Jan. 1, 2025

Language: Английский

Citations

1

GETAE: Graph Information Enhanced Deep Neural NeTwork Ensemble ArchitecturE for fake news detection DOI Creative Commons
Ciprian‐Octavian Truică, Elena‐Simona Apostol,

Marius Marogel

et al.

Expert Systems with Applications, Journal Year: 2025, Volume and Issue: unknown, P. 126984 - 126984

Published: Feb. 1, 2025

Language: Английский

Citations

1

Young people and false information: A scoping review of responses, influential factors, consequences, and prevention programs DOI Creative Commons

Maxime Kops,

Catherine Schittenhelm, Sebastian Wachs

et al.

Computers in Human Behavior, Journal Year: 2025, Volume and Issue: unknown, P. 108650 - 108650

Published: March 1, 2025

Language: Английский

Citations

1