Emotions through texts and images

References

1. Ahmed, Sara
   2004 ‘Affective Economies’. Social Text 7922 (2): 117–39. 10.1215/01642472‑22‑2_79‑117
   https://doi.org/10.1215/01642472-22-2_79-117 [Google Scholar]
2. Alizadeh, Meysam, Ingmar Weber, Claudio Cioffi-Revilla, Santo Fortunato, and Michael Macy
   2019 ‘Psychology and Morality of Political Extremists: Evidence from Twitter Language Analysis of Alt-Right and Antifa’. Epj Data Science8 (17). doi:  10.1140/epjds/s13688‑019‑0193‑9
   https://doi.org/10.1140/epjds/s13688-019-0193-9 [Google Scholar]
3. Barton, David
   2015 ‘Tagging on Flickr as a Social Pratice’. InDiscourse and Digital Practices: Doing Discourse Analysis in the Digital Age, edited byRodney Jones, Alice Chik, and Christoph A. Hafner, 48–65. Abingdon, VA: Routledge.
   [Google Scholar]
4. Bateman, John
   2014 Text and Image. A Critical Introduction to the Visual/Verbal Divide. London, New York: Routledge. 10.4324/9781315773971
   https://doi.org/10.4324/9781315773971 [Google Scholar]
5. Bateman, John A.
   2017 ‘Triangulating Transmediality: A Multimodal Semiotic Framework Relating Media, Modes and Genres | Elsevier Enhanced Reader’. Discourse, Context & Media, 160–74. doi:  10.1016/j.dcm.2017.06.009
   https://doi.org/10.1016/j.dcm.2017.06.009 [Google Scholar]
6. Bednarek, Monika
   2008 Emotion Talk Across Corpora. Basingstoke, UK: Palgrave MacMillan. 10.1057/9780230285712
   https://doi.org/10.1057/9780230285712 [Google Scholar]
7. Bouko, Catherine, July De Wilde, Sofie Decock, Valentina Manchia, Oprhée De Clercq, and David Garcia
   2018 ‘Reactions to Brexit in Images: A Multimodal Content Analysis of Shared Visual Content on Flickr’. Visual Communication. doi:  10.1177/1470357218780530
   https://doi.org/10.1177/1470357218780530 [Google Scholar]
8. Bourlai, Elli, and Susan C. Herring
   2014 ‘Multimodal Communication on Tumblr: I Have so Many Feels!’ InProceedings of the 2014 ACM Conference on Web Science, 171–175. Bloomington, IN: ACM. https://dl.acm.org/citation.cfm?id=2615697
   [Google Scholar]
9. Burgess, Jean
   2011 ‘Image Sharing in the #qldfloods’. Mapping Online Publics. 6March 2011 mappingonlinepublics.net/2011/03/06/image-sharing-in-the-qldfloods/
   [Google Scholar]
10. Burke, Kenneth
    1969 A Grammar of Motives. Berkeley: University of California Press.
    [Google Scholar]
11. Caple, Helen
    2018 ‘“Lucy Says Today She Is a Labordoodle”: How the Dogs-of-Instagram Reveal Voter Preferences’. Social Semiotics0 (0): 1–21. doi:  10.1080/10350330.2018.1443582
    https://doi.org/10.1080/10350330.2018.1443582 [Google Scholar]
12. Celli, Fabio, Evgeny A. Stepanov, Massimo Poesio, and Giuseppe Riccardi
    2016 ‘Predicting Brexit: Classifying Agreement Is Better than Sentiment and Pollsters’. presented at theProceedings PEOPLE Workshop, Osaka. https://aclweb.org/anthology/W/W16/W16-4312.pdf
    [Google Scholar]
13. Chouliaraki, Lilie
    2017 ‘Towards an Analytics of Mediation’. InThe Routledge Handbook of Multimodal Analysis, edited byCarey Jewitt, 2nd ed., 253–73. Abingdon: Routledge. https://www.routledge.com/The-Routledge-Handbook-of-Multimodal-Analysis-2nd-Edition/Jewitt/p/book/9780415519748
    [Google Scholar]
14. Del Vicario, Michela, Fabiana Zollo, Guido Caldarelli, Antonio Scalla, and Walter Quattrociocchi
    2017 ‘Mapping Social Dynamics on Facebook: The Brexit Debate’. Social Networks, no.50: 6–16. doi:  10.1016/j.socnet.2017.02.002
    https://doi.org/10.1016/j.socnet.2017.02.002 [Google Scholar]
15. Garcia, David, and Bernard Rimé
    2019 ‘Collective Emotions and Social Resilience in the Digital Traces After a Terrorist Attack’. Psychological Science30 (4): 617–28. doi:  10.1177/0956797619831964
    https://doi.org/10.1177/0956797619831964 [Google Scholar]
16. Gaspar, Rui, Claudia Pedro, Panos Panagiotopoulos, and Beate Seibt
    2016 ‘Beyond Positive or Negative: Qualitative Sentiment Analysis of Social Media Reactions to Unexpected Stressful Events’. Computers in Human Behavior56 (March): 179–91. doi:  10.1016/j.chb.2015.11.040
    https://doi.org/10.1016/j.chb.2015.11.040 [Google Scholar]
17. Giaxoglou, Korina
    2019 ‘Visual Small Stories of #jesuisaylan: Sharing Cosmopolitan Emotions on Instagram’. Cahiers de l’ILSL59: 59–75.
    [Google Scholar]
18. Halliday, Michael
    1985 An Introduction to Functional Grammar. London: Edward Arnold.
    [Google Scholar]
19. Halliday, Michael, and Christian Matthiessen
    2004 An Introduction to Functional Grammar. 3rd edition. London: Routledge.
    [Google Scholar]
20. Harris, Ranida B., and David Paradice
    2007 ‘An Investigation of the Computer-Mediated Communication of Emotions’. Journal of Applied Sciences Research3 (12): 2081–90.
    [Google Scholar]
21. Kharroub, Tamara, and Ozen Bas
    2016 ‘Social Media and Protests: An Examination of Twitter Images of the 2011 Egyptian Revolution’. New Media & Society18 (9): 1973–92. doi:  10.1177/1461444815571914
    https://doi.org/10.1177/1461444815571914 [Google Scholar]
22. Kong, Kenneth C. C.
    2006 ‘A Taxonomy of the Discourse Relations between Words and Visuals’. Information Design Journal14 (3): 207–30. doi:  10.1075/idj.14.3.04kon
    https://doi.org/10.1075/idj.14.3.04kon [Google Scholar]
23. Kouper, Inna
    2010 ‘The Pragmatics of Peer Advice in a LiveJournal Community’. [email protected]. www.languageatinternet.org/articles/2010/2464
    [Google Scholar]
24. Kress, Gunther, and Theo van Leeuwen
    2006 Reading Images: The Grammar of Visual Design (2nd Edition). New York: Routledge. 10.4324/9780203619728
    https://doi.org/10.4324/9780203619728 [Google Scholar]
25. Lakoff, George
    1993 ‘Metaphor and Thought’. InThe Contemporary Theory of Metaphor, edited byAndrew Ortony, 202–51. Cambridge: Cambridge University Press.
    [Google Scholar]
26. Lansdall-Welfare, Tom, Fabom Dzogang, and Nello Cristianini
    2016 ‘Change-Point Analysis of the Public Mood in UK Twitter during the Brexit Referendum’. In2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW). Barcelona, Spain: IEEE. doi:  10.1109/ICDMW.2016.0068
    https://doi.org/10.1109/ICDMW.2016.0068 [Google Scholar]
27. Liu, Sophia, Jeannette Sutton, Amanda Hughes, and Sarah Vieweg
    2008 ‘In Search of the Bigger Picture: The Emergent Role of On-Line Photo Sharing in Times of Disaster’. InProceedings of the 5th International ISCRAM Conference. /paper/In-Search-of-the-Bigger-Picture-The-Emergent-Role-Liu-Palen/c71aa07c9269e4a74903df18fe40b172a5a7fac5
    [Google Scholar]
28. Llewellyn, Clare, and Laura Cram
    2016 ‘The Results Are in and the UK Will #Brexit: What Did Social Media Tell Us about the UK’s EU Referendum?’ InEU Referendum Analysis 2016: Media, Voters and the Campaign. Early Reflections from Leading UK Academics, edited byDaniel Jackson, Einar Thorsen, and Dominic Wring, 90–91. Poole: The Centre for the Study of Journalism, Culture and Community Bournemouth University.
    [Google Scholar]
29. Löbner, Sebastian
    2002 Understanding Semantics. London: Arnold.
    [Google Scholar]
30. Lyons, John
    1995 Linguistic Semantics. Cambridge: Cambridge University Press. 10.1017/CBO9780511810213
    https://doi.org/10.1017/CBO9780511810213 [Google Scholar]
31. Machin, David
    2007 Introduction to Multimodal Analysis. London: Bloomsbury Academic.
    [Google Scholar]
32. Mann, William C., and Sandra A. Thompson
    1988 ‘Rethorical Structure Theory: Toward a Functional Theory of Text Organization’. Text – Interdisciplinary Journal for the Study of Discourse8 (3): 243–81. doi:  10.1515/text.1.1988.8.3.243
    https://doi.org/10.1515/text.1.1988.8.3.243 [Google Scholar]
33. Manovich, Lev
    2016 Instagram and Contemporary Image. manovich.net/index.php/projects/instagram-and-contemporary-image
    [Google Scholar]
34. Martin, J. R., and P. R. R. White
    2005 The Language of Evaluation. Appraisal in English. London: Palgrave Macmillan. 10.1057/9780230511910
    https://doi.org/10.1057/9780230511910 [Google Scholar]
35. Micheli, Raphaël
    2014 Les Émotions Dans Les Discours. Modèle d’analyse, Perspectives Empiriques. Bruxelles: De Boeck. 10.3917/dbu.mchel.2014.01
    https://doi.org/10.3917/dbu.mchel.2014.01 [Google Scholar]
36. Papacharissi, Zizi
    (2015) Affective Publics: Sentiment, Technology, and Politics. Oxford: Oxford University Press.
    [Google Scholar]
37. Papacharissi, Zizi, and Maria de Fatima Oliveira
    2012 ‘Affective News and Networked Publics: The Rhythms of News Storytelling on #Egypt’. Journal of Communication62 (2): 266–82. doi:  10.1111/j.1460‑2466.2012.01630.x
    https://doi.org/10.1111/j.1460-2466.2012.01630.x [Google Scholar]
38. Plantin, Christian
    2011 Les bonnes raisons des émotions: principes et méthode pour l’étude du discours émotionné. Berne: Peter Lang. 10.3726/978‑3‑0352‑0070‑6
    https://doi.org/10.3726/978-3-0352-0070-6 [Google Scholar]
39. Royce, Terry D.
    2007 ‘Intersemiotic Complementarity: A Framework for Multimodal Discourse Analysis’. InNew Directions in the Analysis of Multimodal Discourse, edited byTerry D. Royce and Wendy Bowcher, 63–109. New York: Lawrence Erlbaum & Assoc. https://opus.lib.uts.edu.au/handle/10453/8221
    [Google Scholar]
40. Seko, Yukari
    2013 ‘Picturesque Wounds: A Multimodal Analysis of Self-Injury Photographs on Flickr’. Forum Qualitative Sozialforschung / Forum: Qualitative Social Research14 (2). www.qualitative-research.net/index.php/fqs/article/view/1935
    [Google Scholar]
41. Seltzer, E. K., N. S. Jean, E. Kramer-Golinkoff, D. A. Asch, and R. M. Merchant
    2015 ‘The Content of Social Media’s Shared Images about Ebola: A Retrospective Study’. Public Health129 (9): 1273–77. doi:  10.1016/j.puhe.2015.07.025
    https://doi.org/10.1016/j.puhe.2015.07.025 [Google Scholar]
42. Shaver, Phillip, Judith Schwartz, Donald Kirson, and Cary O’Connor
    1987 ‘Emotion Knowledge: Further Exploration of a Prototype Approach’. Journal of Personality and Social Psychology52 (6): 1061–86. 10.1037/0022‑3514.52.6.1061
    https://doi.org/10.1037/0022-3514.52.6.1061 [Google Scholar]
43. Skinner, Ellen A., Kathleen Edge, Jeffrey Altman, and Hayley Sherwood
    2003 ‘Searching for the Structure of Coping: A Review and Critique of Category Systems for Classifying Ways of Coping’. Psychological Bulletin129 (2): 216–269. 10.1037/0033‑2909.129.2.216
    https://doi.org/10.1037/0033-2909.129.2.216 [Google Scholar]
44. Smith, Kit
    2017 ‘44 Incredible and Interesting Twitter Statistics’. Brandwatch (blog). 17December 2017 https://www.brandwatch.com/blog/44-twitter-stats/
    [Google Scholar]
45. Van Dijck, José
    2011 ‘Flickr and the Culture of Connectivity: Sharing Views, Experiences, Memories’. Memory Studies4 (4): 401–15. doi:  10.1177/1750698010385215
    https://doi.org/10.1177/1750698010385215 [Google Scholar]
46. Varol, Onur, Emilio Ferrara, Clayton Davis, Filippo Menczer, and Alessandro Flammini
    2017 ‘Online Human-Bot Interactions: Detection, Estimation, and Characterization’. InEleventh International AAAI Conference on Web and Social Media. https://aaai.org/ocs/index.php/ICWSM/ICWSM17/paper/view/15587
    [Google Scholar]
47. Vis, Farida, S. Faulkner, K. Parry, Yana Manyukhina, and L. Evans
    2014 ‘Twitpic-Ing the Riots. Analysing Images Shared on Twitter during the 2011 UK Riots’. InTwitter and Society, edited byKatrin Weller, Axel Bruns, Jean Burgess, Merja Mahrt, and Cornelius Puschmann, 385–98. New York: Peter Lang.
    [Google Scholar]