Aarts, H. and A. Dijksterhuis, 2000. Habits as knowledge structures: Automaticity in goal directed behavior. Journal of Personality and Social Psychology, 78(1): 53-63. DOI 10.1037/0022-35184.108.40.206.
Abelson, R.P., 1981. The psychological status of the script concept. American Psychologist, 36(7): 715–730. DOI 0003-066X/81/3607-0715S00.75.
Ahn, D., 2009. Does tragic drama have hedonic value? The social aspects of hedonic motivations and media enjoyment. Unpublished Doctoral Dissertation, The University of Alabama, Tuscaloosa.
Ajzen, I., 1991. The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2): 179-211. DOI 10.1016/0749-5978(91)90020.
Ajzen, I., 2002. Residual effects of past on later behavior: Habituation and reasoned action perspectives. Personality and Social Psychology Review, 6(2): 107-122. DOI 10.1207/S15327957PSPR0602_02.
Akande, D.W., 2002. A data-based analysis of the psychometric performance of the differential emotions scale. Educational Studies, 28(2): 123-131. DOI 10.1080/03055690220124560.
Armitage, C.J., 2007. Changing past behavior without means of a time machine: Effects on future behavioral decisions. Social Cognition, 25(6): 761-777. DOI 10.1521/soco.2007.25.6.761.
Bagozzi, R.P., M. Gopinath and P.U. Nyer, 1999. The role of emotions in marketing. Journal of the Academy of Marketing Science, 27(2): 184-204. DOI 10.1177/0092070399272005.
Baker, R.C. and D.G. Guttfreund, 1993. The effects of written autobiographical recollection induction procedures on mood. Journal of Clinical Psychology, 49(4): 563-568. DOI 10.1002/1097-4679(199307)49.
Bartsch, A., M. Appel and D. Storch, 2010. Predicting emotions and meta-emotions at the movies: The role of the need for affect in audiences’ experience of horror and drama. Communication Research, 37(2): 167-190. DOI 10.1177/0093650209356441.
Baumeister, R.F., E. Bratslavsky, M. Muraven and D.M. Tice, 1998. Ego-depletion: Is the active self a limited resource? Journal of Personality and Social Psychology, 74(5): 1252-1265. DOI 10.1037/0022-35220.127.116.112.
Baumeister, R.F. and T.F. Heatherton, 1996. Self-regulation failure: An overview. Psychological Inquiry, 7(1): 1-15. DOI 10.1207/s15327965pli0701_1.
Baumeister, R.F. and K.D. Vohs, 2007. Self-regulation, ego-depletion, and motivation. Social and Personality Psychology Compass, 1(1): 115-128. DOI 10.1111/j.1751-9004.2007.00001.x.
Boyle, G., 1984. Reliability and validity of izard’s differential emotions scale. Psychological Review, 5(6): 74-80. DOI 10.1016/0191-8869(84)90124-7.
Bryant, J. and D. Zillmann, 1984. Using television to alleviate boredom and stress: Selective exposure as a function of induced excitational states. Journal of Broadcasting & Electronic Media, 28(1): 1-20. DOI 10.1080/08838158409386511.
Christ, W.G. and N.J. Medoff, 1984. Affective state and the selective exposure to and use of television. Journal of Broadcasting & Electronic Media, 28(1): 51-63. DOI 10.1080/08838158409386514.
Cohen, J., 1977. Statistical power analysis for the behavioral sciences. New York: Harcourt-Brace.
De Wied, M., D. Zillmann and V. Ordman, 1995. The role of empathic distress in the enjoyment of cinematic tragedy. Poetics, 23(1-2): 91-106. DOI 10.1016/0304-422X(94)00010.
Erber, R., D.M. Wegner and N. Therriault, 1996. On being cool and collected: Mood regulation in anticipation of social interaction. Journal of Personality and Social Psychology, 70(4): 757-766. DOI 10.1037/0022-3518.104.22.1687.
Fennis, B.M., L. Janssen and K.D. Vohs, 2009. Acts of benevolence: A limited resource account of compliance with charitable requests. Journal of Consumer Research, 35(6): 906-924. DOI 10.1086/593291.
Fischoff, S., A. Dimopoulos, F. Nguyen and R. Gordon, 2005. The psychological appeal of movie monsters. Journal of Media Psychology, 10(3): 1-33.
Gailliot, M.T., R.F. Baumeister, C.N. DeWall, J.K. Maner, E.A. Plant, D.M. Tice and B.J. Schmeichel, 2007. Self-control relies on glucose as a limited energy source: Willpower is more than a metaphor. Journal of Personality and Social Psychology, 92(2): 325-336. DOI 10.1037/0022-3522.214.171.1245.
Gorman, B., 2011. March broadcast top 25 shows, 2011: Nielsen television shows ratings, data and numbers. Available from http://tvbythenumbers.zap2it.com/2011/03/08/tv-ratings-broadcast-top-25-american-idol-ncis-modern-family-house-top-week-24-viewing/84946/.
Graybiel, A.M., 2008. Habits, rituals, and the evaluative brain. Annual Review of Neuroscience, 31: 359–387. DOI 10.1146/annurev.neuro.29.051605.112851.
Gross, J.J., 1998. The emerging field of emotion regulation: An integrative review. Review of General Psychology, 2(3): 271-299. DOI 10.1037/1089-26126.96.36.1991.
Gross, J.J. and R.W. Levenson, 1995. Emotion elicitation using films. Cognition & Emotion, 9(1): 87-108. DOI 10.1080/02699939508408966.
Hartmann, T., Y. Jung and P. Vorderer, 2012. What determines video game use? The impact of users' habits, addictive tendencies, and intentions to play. Journal of Media Psychology, 24(1): 19-30. DOI 10.1027/1864-1105/a000059.
Helregel, B.K. and J.B. Weaver, 1989. Mood-management during pregnancy through selective exposure to television. Journal of Broadcasting & Electronic Media, 33(1): 15-33. DOI 10.1080/08838158909364059.
Hill, S., R. LaRose, T. Hartman and E. Ozkaya, 2010. Too depleted to choose? Ego depletion, self-control, and habits in media selection. Paper Presented at the Annual Meeting of the International Communication Association Conference, Singapore.
Izard, C.E., 1977. The psychology of emotions. New York: Plenum.
Knobloch-Westerwick, S., 2007. Gender differences in selective media use for mood management and mood adjustment. Journal of Broadcasting & Electronic Media, 51(1): 73-92. DOI 10.1080/08838150701308069.
Knobloch-Westerwick, S. and S. Alter, 2006. Mood adjustment to social situations through mass media use: How men ruminate and women dissipate angry moods. Human Communication Research, 32(1): 58-73. DOI 10.1111/j.1468-2958.2006.00003.x.
Knobloch, S., 2003. Mood adjustment via mass communication. Journal of Communication, 53(2): 233-250. DOI 10.1111/j.1460-2466.2003.tb02588.x.
Knobloch, S., 2006. Mood management theory: Evidence, and advancements. In J. Bryant & P. Vorderer (Eds.), Psychology of entertainment. Mahwah, NJ: Lawrence Erlbaum Associates. pp: 239–254.
LaRose, R., 2010. The problem of media habits. Communication Theory, 20(2): 194-222. DOI 10.1111/j.1468-2885.2010.01360.x.
LaRose, R., J. Kim and W. Peng, 2010. Social networking: Addictive, compulsive, problematic, or just another media habit. In Z. Papacharissi (Ed.), A networked self: Identity, community, and culture on social network sites. New York: Routledge. pp: 59-81.
LaRose, R., C.A. Lin and M.S. Eastin, 2003. Unregulated internet usage: Addiction, habit, or deficient self-regulation? Media Psychology, 5(3): 225-253. DOI 10.1207/S1532785XMEP0503_01.
Limayem, M., S.G. Hirt and C.M.K. Cheung, 2007. How habit limits the predictive power of intention: The case of information systems. MIS Quarterly, 31(4): 705-737.
Mares, L. and J. Cantor, 1992. Elderly viewers’ responses to televised portrayals of old age: Empathy and mood management versus social comparison. Communication Research, 19(4): 459-478. DOI 10.1177/009365092019004004.
Meadowcroft, J.M. and D. Zillmann, 1987. Women's comedy preferences during the menstrual cycle. Communication Research, 14(2): 204-218. DOI 10.1177/009365087014002004.
Mills, J., 1993. The appeal of tragedy: An attitude interpretation. Basic and Applied Social Psychology, 14(3): 255-271. DOI 10.1207/s15324834basp1403_1.
Mosak, H.H. and R. Dreikurs, 1973. Adlerian psychotherapy. In R. Corsini (Ed.), Current psychotherapies. Itasca, IL: Peacock Publishers. pp: 51-94.
Muraven, M. and R.F. Baumeister, 2000. Self-regulation and depletion of limited resources: Does self-control resemble a muscle? Psychological Bulletin, 126(2): 247-259. DOI 10.1037/0033-2909.126.2.247.
Muraven, M., D.M. Tice and R.F. Baumeister, 1998. Self-control as limited resource: Regulatory depletion patterns. Journal of Personality and Social Psychology, 74(3): 774-789. DOI 10.1037/0022-35188.8.131.524.
Oliver, M.B., 1993. Exploring the paradox of the enjoyment of sad films. Human Communication Research, 19(3): 315-342. DOI 10.1111/j.1468-2958.1993.tb00304.x.
Ouellette, J.A. and W. Wood, 1998. Habit and intention in everyday life: The multiple processes by which past behavior predicts future behavior. Psychological Bulletin, 124(1): 54–74. DOI 10.1037/0033-2909.124.1.54.
Palmgreen, P., L. Wenner and K. Rosengren, 1985. Uses and gratifications research: The past ten years. In K. Rosengren, L. Wenner, & P. Palmgreen (Eds.), Media gratifications research. Beverly Hills, CA: Sage Publications. pp: 11-37.
Pieters, R.G.M. and F. Van Raaij, 1988. Functions and management of affect: Applications to economic behavior. Journal of Economic Psychology, 9(2): 251-282. DOI 10.1016/0167-4870(88)90054-2.
Raghunathan, R. and K.P. Corfman, 2004. Sadness as pleasure-seeking prime and anxiety as attentiveness prime: The different affect–different effect (DADE) model. Motivation and Emotion, 28(1): 23-41. DOI 10.1023/B:MOEM.0000027276.32709.30.
Salovey, P. and D. Birnbaum, 1989. Influence of mood on health-relevant cognitions. Journal of Personality and Social Psychology, 57(3): 539-551. DOI 10.1037//0022-35184.108.40.2069.
Schmeichel, B.J., 2007. Attention control, memory updating, and emotion regulation temporarily reduce the capacity for executive control. Journal of Experimental Psychology: General, 136(2): 241-255. DOI http://dx.doi.org/10.1037/0096-34220.127.116.11.
Sparks, G.G., J. Sherry and G. Lubsen, 2005. The appeal of media violence in a full-length motion picture: An experimental investigation. Communication Reports, 18(1-2): 21-30. DOI 10.1080/08934210500084198.
Strizhakova, Y. and M. Krcmar, 2007. Mood management and video rental choices. Media Psychology, 10(1): 91-112. DOI 10.108/15213260701301152.
Tamborini, R., N.D. Bowman, A. Eden, M. Grizzard and A. Organ, 2010. Defining media enjoyment as the satisfaction of intrinsic needs. Journal of Communication, 60(4): 758-777. DOI 10.1111/j.1460-2466.2010.01513.x.
Tversky, A. and D. Kahneman, 1973. Availability: A heuristic for judging frequency and probability. Cognitive Psychology, 5(2): 207-232. DOI 10.1016/0010-0285(73)90033-9.
Verplanken, B., 2006. Beyond frequency: Habit as mental construct. British Journal of Social Psychology, 45(3): 639-656. DOI 10.1348/014466605X49122.
Verplanken, B. and H. Aarts, 1999. Habit, attitude and planned behavior: Is habit an empty construct or an interesting case of goal directed automaticity? European Review of Social Psychology, 10(1): 101–134. DOI 10.1080/14792779943000035.
Verplanken, B. and S. Orbell, 2003. Reflections on past behavior: A self-report index of habit strength. Journal of Applied Social Psychology, 33(6): 1313-1330. DOI 10.1111/j.1559-1816.2003.tb01951.x.
Vohs, K.D., R.F. Baumeister and N.J. Ciarocco, 2005. Self-regulation and self-presentation: Regulatory resource depletion impairs impression management and effortful self-presentation depletes regulatory resources. Journal of Personality and Social Psychology, 88(4): 632-657. DOI 10.1037/0022-3518.104.22.1682.
Vohs, K.D. and T.F. Heatherton, 2000. Self-regulatory failure: A resource-depletion approach. Psychological Science, 11(3): 249-254. DOI 10.1111/1467-9280.00250.
Wakshlag, J., V. Vial and R. Tamborini, 1983. Selecting crime drama and apprehension about crime. Human Communication Research, 10(2): 227-242. DOI 10.1111/j.1468-2958.1983.tb00012.x.
Wiedemann, A.U., B. Schuz, F.F. Sniehotta, U. Scholz and R. Schwarzer, 2009. Disentangling the relation between intentions, planning, and behavior: A moderated mediation analysis. Psychology & Health, 24(1): 67–79. DOI 10.1080/08870440801958214.
Wohn, D.Y., 2012. The role of habit strength in social network game play. Communication Research Reports, 29(1): 74-79. DOI 10.1080/08824096.2011.639912.
Wohn, D.Y., A. Velazquez, T. Bjornrud and C. Lampe, 2012. Habit as an explanation of participation in an online peer-production community. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI’12), USA, 2905-2914.
Wood, W., J.M. Quinn and D. Kashy, 2002. Habits in everyday life: Thought, emotion and action. Journal of Personality and Social Psychology, 83(6): 1281-1297. DOI 10.1037/0022-3522.214.171.124.
Zillmann, D., 1988a. Mood management: Using entertainment to full advantage. In L. Donohew, H. E. Sypher, & T. Higgins (Eds.), Communication, social cognition, and affect. Hillside, NJ: Erlbaum. pp: 147-171.
Zillmann, D., 1988b. Mood management through communication choices. American Behavioral Scientist, 31(3): 327-340. DOI 10.1177/000276488031003005.
Zillmann, D., 2000. Humor and comedy. In D. Zillmann & P. Vorderer (Eds.), Media entertainment: The psychology of its appeal. New York: Routledge. pp: 36-59.
Zillmann, D. and J. Bryant, 1985. Affect, mood and emotion as determinants of selective media exposure. In D. Zillmann, & J. Bryant (Eds.), Selective exposure to communication. Hillsdale, NJ: Lawrence Erlbaum. pp: 135-168.
Zillmann, D. and J. Bryant, 1994. Entertainment as media effect. In D. McQuail (Ed.), McQuail’s reader in mass communication theory. Hillsdale, NJ: Lawrence Erlbaum. pp: 406-416.
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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.91/2016.3.2/126.96.36.199
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
Bilal Zafar, M., P. Bhattacharya, N. Ganguly, K. Gummadi and S. Ghosh, 2015. Sampling content from online social networks: Comparing random vs. Expert sampling of the twitter stream. ACM Transactions on the Web, 9(3): 12:11-12:30.
Castells, M., 1972. Propocicions teóricas para una investigación sobre los movimientos sociales urbanos. Revista Mexicana de Sociología, 34(1): 1-26. DOI http://doi.org/10.2307/3539345.
Castells, M., 2010. Comunicación y poder. 1st Edn., Madrid: Alianza Editorial.
Castelss, M., 2012. Networks of outrage and hope. Social movements in the internet era. United Kingdom: Polity Press.
Chung, J.C. and C. Sung-Ho, 2013. News coverage analysis of SNSs and the Arab Spring: Using mixed methods. Global Media Journal, 12(3): 1-26.
Cozma, R. and K. Chen, 2013. What’s in a tweet? Journalism Practice, 7(1): 33–46.
Dijick, J., 2011. Tracing twitter: The rise of a microblogging platform. International Journal of Media & Cultural Politics, 3(7): 333–348.
Frangonikolopoulos, C.A. and I. Chapsos, 2012. Explaining the role and the impact of the social media in the Arab Spring. Global Media Journal: Mediterranean Edition, 7(2): 10–20.
Garza, A., 2014. A herstory of the #black lives matter movement | black lives matter. Retrieved from http://blacklivesmatter.com/ [Accessed August 20, 2015].
Guynn, J., 2015. Meet the woman who, coined #blacklivesmatter. USA Today. Retrieved from http://www.usatoday.com/story/tech/2015/03/04/alicia-garza-black-lives-matter/24341593/ [Accessed September 3, 2015].
Lotan, G., E. Graeff, M. Ananny, I. Pearce and D. Boyd, 2011. The Arab Spring| the revolutions were tweeted: Information flows during the 2011 Tunisian and Egyptian revolutions. International Journal of Communication, 5: 31.
Saíz, E., 2011. El movimiento 15-M, del anonimato al trending topic. EL PAÍS. Retrieved from http://politica.elpais.com/politica/2011/05/17/actualidad/1305634388_860978.html [Accessed August 31, 2015].
Schmierbach, M. and A. Oeldorf-Hirsch, 2012. A little bird told me, so i didn’t believe it: Twitter, credibility, and issue perceptions. Communication Quarterly, 60(3): 317–337.
Sharma, S., 2013. Black twitter? Racial hashtags, networks and contagion. New Formations, 78(1): 46-64.
Shore, F., 2015. Black lives matter: Constructing a new civil rights and black freedom movement. New Politics, 15(3): 28–32.
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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.91/2016.3.2/188.8.131.52
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.