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A Study on the Awareness, Attitude, Behavior, and Perceived Effectiveness of College Students Who Are Social Support Network Readers of Distressed Tweets on Twitter

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dc.contributor.author Espinoza, Issabela Mari DC.
dc.date.accessioned 2025-03-04T02:58:25Z
dc.date.available 2025-03-04T02:58:25Z
dc.date.issued 2019
dc.identifier.uri http://dspace.cas.upm.edu.ph:8080/xmlui/handle/123456789/2922
dc.description.abstract As cyber space becomes an avenue for people to express themselves, social media becomes another avenue for adolescents, particularly college students, to express their feelings and emotions through different social networking sites, one of them being Twitter. With the increasing number of incidents people use social media to express and voice out their distress, it is extremely important to study the available social support system the distressed individuals can get online. With this, a mixed methods research was conducted to study the awareness, attitude, behavior, and perceived effectiveness of Twitter users who are readers of distressed tweets. The study showed how the college students were highly aware of the presence of distressed tweets on Twitter and their attitude towards them include sympathy, sadness, and worry. The study also found out that people were willing to offer help and support to these individuals. The themes gathered in this study also included the different expression of distress the participants were able to observe, the kind of support offered, the different factors for helping, and their perception on the effectiveness of their actions. en_US
dc.subject Cyber Space en_US
dc.subject Social Media en_US
dc.subject Adolescents en_US
dc.subject Emotional Expression en_US
dc.subject Distressed Tweets en_US
dc.subject Social Networking Sites en_US
dc.subject Awareness en_US
dc.subject Attitude en_US
dc.subject Behavior en_US
dc.title A Study on the Awareness, Attitude, Behavior, and Perceived Effectiveness of College Students Who Are Social Support Network Readers of Distressed Tweets on Twitter en_US
dc.type Thesis en_US


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