Dataset Information

Dataset on Online mass media engagements on YouTube for terrorism related discussions.

ABSTRACT: The data examined 150 mass media YouTube videos on Al-Shahab, Boko Haram and IS terrorist groups from 2014 to 2016 to ascertain the kind of discussions about terrorist groups online. The discussions were categorized into 13 sub-topics namely; reactiveness to terrorist, fight against terrorist, government proactiveness against terrorism, advocacy for anti-terrorism, claims of attack by terrorists, threats by terrorists, recruitment by terrorists, prevalence of attacks by terrorists, condemnation of terrorist attacks, mockery of terrorism, accusation of government as ineffective, sex-slave by terrorists and victory by terrorists. Charts and tables were used to present data on discussion on the 3 above mention terrorist groups.

SUBMITTER: Kayode-Adedeji T

PROVIDER: S-EPMC6659103 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature

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Dataset on Online mass media engagements on YouTube for terrorism related discussions.

Kayode-Adedeji Tolulope T Oyero Olusola O Aririguzoh Stella S

Data in brief 20190118

The data examined 150 mass media YouTube videos on Al-Shahab, Boko Haram and IS terrorist groups from 2014 to 2016 to ascertain the kind of discussions about terrorist groups online. The discussions were categorized into 13 sub-topics namely; reactiveness to terrorist, fight against terrorist, government proactiveness against terrorism, advocacy for anti-terrorism, claims of attack by terrorists, threats by terrorists, recruitment by terrorists, prevalence of attacks by terrorists, condemnation ...[more]

PMID: 31372376

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Project description:Objective Informational social support is one of the main reasons for patients to visit online health communities (OHCs). Calls have been made to investigate the objective quality of such support in the light of a worrying number of inaccurate online health-related information. The main aim of this study is to conceptualize the Quality of Informational Social Support (QISS) and develop and test a measure of QISS for content analysis. A further aim is to investigate the level of QISS in cancer-related messages in the largest OHC in Slovenia and examine the differences among various types of discussion forums, namely, online consultation forums, online support group forums, and socializing forums. Methods A multidimensional measurement instrument was developed, which included 20 items in a coding scheme for a content analysis of cancer-related messages. On a set of almost three million posts published between 2015 and 2019, a machine-learning algorithm was used to detect cancer-related discussions in the OHC. We then identified the messages providing informational social support, and through quantitative content analysis, three experts coded a random sample of 403 cancer-related messages for the QISS. Results The results demonstrate a good level of interrater reliability and agreement for a QISS scale with six dimensions, each demonstrating good internal consistency. The results reveal large differences among the social support, socializing, and consultation forums, with the latter recording significantly higher quality in terms of accuracy (M = 4.48, P < .001), trustworthiness (M = 4.65, P < .001), relevance (M = 3.59, P < .001), and justification (M = 3.81, P = .05) in messages providing informational social support regarding cancer-related issues. Conclusions This study provides the research field with a valid tool to further investigate the factors and consequences of varying quality of information exchanged in supportive communication. From a practical perspective, OHCs should dedicate more resources and develop mechanisms for the professional moderation of health-related topics in socializing forums and thereby suppress the publication and dissemination of low-quality information among OHC users and visitors.

Dataset Information

Dataset on Online mass media engagements on YouTube for terrorism related discussions.

Publications

Dataset on Online mass media engagements on YouTube for terrorism related discussions.

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