Please use this identifier to cite or link to this item: http://ir.inflibnet.ac.in/handle/1944/2289
Title: A Novel Study To Determine Fake News Quotient: Perception Based Study Among Lis Students
Authors: Deepjyoti Kalita
Dipen Deka
Keywords: Fake News
Social Media
Fake News Awareness
Issue Date: Nov-2018
Publisher: INFLIBNET Centre, Gandhinagar
Series/Report no.: PLANNER 2018; 05
Abstract: Fake news can be an image, a video or an imitative news article often designed to misguide masses through wrong information. Fake news identification through normal observation is not an easy task. It needs thorough observation of facts and the process itself requires some factual steps. Public discussion forums are always empowering citizens by giving some identification properties which are often associated with fake news and also telling the follow up steps when they find some doubtful news items. The current study is an evaluative process to measure the ability of library and information science(LIS) students to identify fake news. Nine properties were identified and clubbed as Questions on Fake news Identification(QFI), based student’s awareness level to those points, a resultant QFI quotient was measured out through a systematically designed process for the study. Similarly, eight activities were noted out and clubbed as Questions on Fake news Tackling Activities (QFTA), a QFTA quotient was measured out following the similar process of QFI quotient. The average QFI quotient and QFTA quotient of LIS students were 0.67 and 0.73 respectively. A significant correlation of 0.570 between QFI quotient and QFTA quotient helped to conclude that LIS students have a strong ability to identify and stop the spreading of fake news.
Description: 11th Convention PLANNER 2018, Tripura University, Agartala, Tripura, November 15-17, 2018
URI: http://ir.inflibnet.ac.in/handle/1944/2289
ISBN: 9789381232088
Appears in Collections:PLANNER 2018 Tripura

Files in This Item:
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5.pdfFull-Text264.75 kBPDFView/Open
05_Questionnaire.pdfQuestionnaire29.32 kBPDFView/Open
05_Raw Data.xlsxRaw Data19.15 kBXlsxView/Open
05_Annexure.pdfAnnexure240.22 kBPDFView/Open


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