TY - GEN
T1 - Role of Machine Learning in Fake News Detection
AU - Goyal, Divij
AU - Kapoor, Shubh
AU - Jain, Ashish
AU - Verma, Rohit
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026.
PY - 2026
Y1 - 2026
N2 - Fake news detection is a fast-expanding topic of research with numerous studies published in recent years. This study examines past and present methods of receiving false information in text formats while explaining why false stories exist. Early research in this area was largely concerned with formulating strategies for identifying fake news based on elements including text content, writing style, and source legitimacy. Due to the rapid growth of online knowledge, it is no longer possible to determine the true meaning of lies. Thus, this leads to the problem of false news. If fake news is rampant, the legitimacy of social media networks is likewise jeopardized. As a result, it has become an important research problem to automatically evaluate information based on its source, content, and publisher to determine whether it is fake or accurate. This research offers a thorough analysis of the subject throughout time into a single study.
AB - Fake news detection is a fast-expanding topic of research with numerous studies published in recent years. This study examines past and present methods of receiving false information in text formats while explaining why false stories exist. Early research in this area was largely concerned with formulating strategies for identifying fake news based on elements including text content, writing style, and source legitimacy. Due to the rapid growth of online knowledge, it is no longer possible to determine the true meaning of lies. Thus, this leads to the problem of false news. If fake news is rampant, the legitimacy of social media networks is likewise jeopardized. As a result, it has become an important research problem to automatically evaluate information based on its source, content, and publisher to determine whether it is fake or accurate. This research offers a thorough analysis of the subject throughout time into a single study.
KW - Artificial intelligence
KW - Click baiting
KW - Deepfake
KW - Fake news
KW - Machine learning
KW - Social media
KW - Websites
UR - https://www.scopus.com/pages/publications/105027932797
U2 - 10.1007/978-981-96-6329-3_1
DO - 10.1007/978-981-96-6329-3_1
M3 - Conference contribution
AN - SCOPUS:105027932797
SN - 9789819663286
T3 - Lecture Notes in Networks and Systems
SP - 1
EP - 13
BT - Proceedings of International Conference on Innovations in Data Science - ICIDS 2024
A2 - Uddin, Mohammad Shorif
A2 - Singh, Dharm
A2 - Ganokratanaa, Thittaporn
A2 - Kumawat, Gaurav
PB - Springer Science and Business Media Deutschland GmbH
T2 - International Conference on Innovations in Data Science, ICIDS 2024
Y2 - 28 November 2024 through 29 November 2024
ER -