Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Sushila Shelke"'
Autor:
Sushila Shelke, Vahida Attar
Publikováno v:
Multimedia Tools and Applications. 81:17347-17368
Emergence in the social network leads to the extensive and faster diffusion of news than conventional news channels. Verification of data is challenging due to massive information on a social network. Unverified information can be a rumor or fake new
Autor:
Pooja Raut, Akanksha Mishra, Shreya Rao, Saloni Kawoor, Sushila Shelke, Mahendra Deore, Vivek Kumar
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9789811676567
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f0d6fbb67b7983355aab411ac228468
https://doi.org/10.1007/978-981-16-7657-4_72
https://doi.org/10.1007/978-981-16-7657-4_72
Autor:
Vahida Attar, Sushila Shelke
Publikováno v:
ICCCNT
A rapid use of the social network for communication prompts the broad and quicker dispersion of information than normal news channels. The validation of information is very challenging due to massive data on a social network. Unverified news can be a
Autor:
Vahida Attar, Sushila Shelke
Publikováno v:
Online Social Networks and Media. 9:30-42
The ubiquity of handheld devices provides straightforward access to the Internet and Social networking. The quick and easy updates from social networks help users in many situations like natural disasters, man-made disasters, etc. In such situations,
Autor:
Sushila Shelke, Vahida Attar
Publikováno v:
Cybernetics, Cognition and Machine Learning Applications ISBN: 9789811516313
The emergence and growth in social networking data, where the information gets shared without veracity, results in the problem of rumor dissemination. The negative effects of rumor diffusion can be controlled by recognizing the origin of a rumor in t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ca686e5b953f3ee87841771d3a9fc9a
https://doi.org/10.1007/978-981-15-1632-0_10
https://doi.org/10.1007/978-981-15-1632-0_10