Social Media vs. News Platforms: A Cross-analysis for Fake News Detection Using Web Scraping and NLP

Alsuliman, Fahad; Bhattacharyya, Siddhartha; Slhoub, Khaled; Nur, Nasheen; Chambers, Candice Normalee

doi:10.1145/3529190.3534755

Cited by 3 publications

(2 citation statements)

References 8 publications

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“…Various approaches are available to collect and identify fake news (Dutta et al, 2023). Primary research stated that the rise of fake news began with digital sources and social media (Alsuliman et al, 2022;Isa et al, 2022). Many studies have been developed on methods to improve rumor classification, particularly misinformation detection on social media, with promising results in recent years.…”

Section: Cybersecurity and Investmentsmentioning

confidence: 99%

Untitled

2023

Foresight and STI Governance

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It publishes original research articles, offering new theoretical insights and practice-oriented knowledge in important areas of strategic planning and the creation of science, technology, and innovation (STI) policy, and it examines possible and alternative futures in all human endeavors in order to make such insights available to the right person at the right time to ensure the right decision.The journal acts as a scientific forum, contributing to the interaction between researchers, policy makers, and other actors involved in innovation processes. It encompasses all facets of STI policy and the creation of technological, managerial, product, and social innovations. Foresight and STI Governance welcomes works from scholars based in all parts of the world.Topics covered include:• Foresight methodologies and best practices;• Long-term socioeconomic priorities for strategic planning and policy making;• Innovative strategies at the national, regional, sectoral, and corporate levels;• The development of National Innovation Systems;• The exploration of the innovation lifecycle from idea to market;• Technological trends, breakthroughs, and grand challenges;• Technological change and its implications for economy, policy-making, and society;• Corporate innovation management;• Human capital in STI; and many others.The target audience of the journal comprises research scholars, university professors, postgraduates, policy-makers, business people, the expert community, and others who are interested in S&T and innovation analyses, foresight studies, and policy issues. The journal is included into the 1st quartile (Q1) of the Scopus

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Section: Cybersecurity and Investmentsmentioning

confidence: 99%

Untitled

2023

Foresight and STI Governance

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“…Various approaches are available to collect and determine fake news (Dutta et al, 2023). Primary research stated that the rise of fake news is begun from digital sources and social media (Alsuliman et al, 2022;Isa et al, 2022). Many studies have been developed on methods to improve rumor classification, particularly misinformation detection on social media, with promising results in recent years.…”

Section: Figure 2 Risk Management Co-occurrence Analysismentioning

confidence: 99%

Cybersecurity and Strategic Management

Gunawan,

Ratmono,

Abdullah

2023

Foresight and STI Governance

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Against the backdrop of rapidly evolving technologies and increasingly complex communications networks, cybersecurity is becoming a key aspect of strategic planning. Protecting information, financial, reputational and other assets from increasingly frequent and sophisticated cyberattacks depends on the ability to develop and continually update a comprehensive, proactive approach that takes into account a wide range of factors. The state of national cybersecurity has become one of the key indicators of the level of development along with «classic» indicators (GDP, etc.). The recently emerged research area of «cybersecurity economics» is constantly being enriched with new knowledge and approaches.The article analyzes the risks to the cybersecurity system at different levels and the main measures to strengthen it, and assesses the dynamics of management trends. Key competencies relevant for professionals in this field are outlined.

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DeepNews: enhancing fake news detection using generative round network (GRN)

Wanda,

Diqi

2024

Int. j. inf. tecnol.

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Social Media vs. News Platforms: A Cross-analysis for Fake News Detection Using Web Scraping and NLP

Cited by 3 publications

References 8 publications

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Cybersecurity and Strategic Management

DeepNews: enhancing fake news detection using generative round network (GRN)

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