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Elif Ozkaya (2016). The Role of Habit and Emotional Regulation on Entertainment Video. Journal of New Media and Mass Communication, 3(2): 49-64. DOI: 10.18488/journal.91/2016.3.2/220.127.116.11
Communication research has largely sought to explore how users come to
consume media. This study examines audience selection of entertainment
media, in particular television program genres streamed in the online
environment. By drawing from social cognitive theory, it is the aim of
this study to investigate whether acts of emotional self-regulation can
provide an explanation for selective exposure to media entertainment. In
an experimental setting, mood management theory and social cognitive
theory are pitted against each other in determining content preference
under the influence of sad moods. Putting all subjects in a sad mood,
and manipulating habit strengths for comedic and dramatic content, it is
predicted that subjects whose emotional self-regulation is depleted
will select more habitual entertainment video options than non-depleted
This study extends prior research by examining media selection behavior
in online environment. The findings of this paper indicate that habits
drive selective exposure when individuals are in depleted-resource
states regardless of their mood.
Uses of the Hashtag #Blacklivesmatter: A Quantitative Proposal for Researching Online Social Movements
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Laura Canuelas , Jorge Santiago Pintor , Evelyn Dean-Olmstead , Silvia Alvarez Curbelo (2016). Uses of the Hashtag #Blacklivesmatter: A Quantitative Proposal for Researching Online Social Movements. Journal of New Media and Mass Communication, 3(2): 34-48. DOI: 10.18488/journal.91/2016.3.2/18.104.22.168
This study presents a process to research the elements that influence
the creation and proliferation of the hashtag #BlackLivesMatter, and
explores the ways Twitter members use this hashtag. This objective is
divided in four questions: What types of events influence the use of the
hashtag #BlackLivesMatter?, What type of user generated content appears
with this hashtag?, What other hashtags are used when #BlackLivesMatter
is present? And which emotions (rage, fear or enthusiasm) appear in
these messages? We present a theoretical framework that includes
characteristics of microblogging platforms as well as their impact on
social movements of the last decade. The methodology uses a quantitative
approach to analyze a sample of tweets that contain the hashtag
#BlackLivesMatter. The findings indicated that the events that most
influences the use of #BlackLivesMatter are the deaths of black people
by the hands of police officers, trials and manifestations. Rage is the
most common emotion, closely followed by enthusiasm. The user generated
content most shared is webpage links and the hashtags that appear most
frequently next to #BlackLivesMatter are #Ferguson (427) and #MikeBrown
(111). Future investigations should include a wider range of emotions
to be evaluated as well as cross platform analysis.
This study contributes to the existing literature on online social
movements, hashtag production, emotional and user generated content.