# data[].attributes.headline
Jang, S.M. and Kim, J.K. (2018) ‘Third person effects of fake news: Fake news regulation and media literacy interventions’, Computers in human behavior, 80, pp. 295–302. 

# data[].attributes.subject
Jang, S.M. and Kim, J.K. (2018) ‘Third person effects of fake news: Fake news regulation and media literacy interventions’, Computers in human behavior, 80, pp. 295–302. 

# data[].attributes.headline
Tong, C. et al. (2020) ‘“Fake News Is Anything They Say!” - Conceptualization and Weaponization of Fake News among the American Public’, Mass communication & society, 23(5), pp. 755–778. 

# data[].attributes.subject
Tong, C. et al. (2020) ‘“Fake News Is Anything They Say!” - Conceptualization and Weaponization of Fake News among the American Public’, Mass communication & society, 23(5), pp. 755–778. 

# data[].attributes.headline
Talwar, S. et al. (2019) ‘Why do people share fake news? Associations between the dark side of social media use and fake news sharing behavior’, Journal of retailing and consumer services, 51, pp. 72–82. 

# data[].attributes.subject
Talwar, S. et al. (2019) ‘Why do people share fake news? Associations between the dark side of social media use and fake news sharing behavior’, Journal of retailing and consumer services, 51, pp. 72–82. 

# data[].attributes.headline
Geschke, D., Lorenz, J. and Holtz, P. (2019) ‘The triple‐filter bubble: Using agent‐based modelling to test a meta‐theoretical framework for the emergence of filter bubbles and echo chambers’, British journal of social psychology, 58(1), pp. 129–149.

# data[].attributes.subject
Geschke, D., Lorenz, J. and Holtz, P. (2019) ‘The triple‐filter bubble: Using agent‐based modelling to test a meta‐theoretical framework for the emergence of filter bubbles and echo chambers’, British journal of social psychology, 58(1), pp. 129–149.

# data[].attributes.headline
Pennycook, G. and Rand, D.G. (2021) ‘The Psychology of Fake News’, Trends in cognitive sciences, 25(5), pp. 388–402. 

# data[].attributes.subject
Pennycook, G. and Rand, D.G. (2021) ‘The Psychology of Fake News’, Trends in cognitive sciences, 25(5), pp. 388–402. 

# data[].attributes.headline
Seargeant, P. and Tagg, C. (2019) ‘Social media and the future of open debate: A user-oriented approach to Facebook’s filter bubble conundrum’, Discourse, context & media, 27, pp. 41–48.

# data[].attributes.subject
Seargeant, P. and Tagg, C. (2019) ‘Social media and the future of open debate: A user-oriented approach to Facebook’s filter bubble conundrum’, Discourse, context & media, 27, pp. 41–48.

# data[].attributes.headline
Barker, R. (2018) ‘Trapped in the Filter Bubble? Exploring the Influence of Google Search on the Creative Process’, Journal of interactive advertising, 18(2), pp. 85–95. 

# data[].attributes.subject
Barker, R. (2018) ‘Trapped in the Filter Bubble? Exploring the Influence of Google Search on the Creative Process’, Journal of interactive advertising, 18(2), pp. 85–95. 

# data[].attributes.headline
Leung, F.F., Gu, F.F. and Palmatier, R.W. (2022) ‘Online influencer marketing’, Journal of the Academy of Marketing Science, 50(2), pp. 226–251. 

# data[].attributes.subject
Leung, F.F., Gu, F.F. and Palmatier, R.W. (2022) ‘Online influencer marketing’, Journal of the Academy of Marketing Science, 50(2), pp. 226–251. 

# data[].attributes.headline
Martinez-Lopez, F.J. et al. (2020) ‘Behind influencer marketing: key marketing decisions and their effects on followers’ responses’, Journal of marketing management, 36(7-8), pp. 579–607.

# data[].attributes.subject
Martinez-Lopez, F.J. et al. (2020) ‘Behind influencer marketing: key marketing decisions and their effects on followers’ responses’, Journal of marketing management, 36(7-8), pp. 579–607.

# data[].attributes.headline
Baer, H. (2016) ‘Redoing feminism: digital activism, body politics, and neoliberalism’, Feminist media studies, 16(1), pp. 17–34. 

# data[].attributes.subject
Baer, H. (2016) ‘Redoing feminism: digital activism, body politics, and neoliberalism’, Feminist media studies, 16(1), pp. 17–34. 

# data[].attributes.headline
Hutchinson, J. (2021) ‘Micro-platformization for digital activism on social media’, Information, communication & society, 24(1), pp. 35–51. 

# data[].attributes.subject
Hutchinson, J. (2021) ‘Micro-platformization for digital activism on social media’, Information, communication & society, 24(1), pp. 35–51. 

# data[].attributes.headline
Pain, P. (2021) ‘“It took me quite a long time to develop a voice”: Examining feminist digital activism in the Indian #MeToo movement’, New media & society, 23(11), pp. 3139–3155.

# data[].attributes.subject
Pain, P. (2021) ‘“It took me quite a long time to develop a voice”: Examining feminist digital activism in the Indian #MeToo movement’, New media & society, 23(11), pp. 3139–3155.

# data[].attributes.headline
Steensen, S., Ferrer-Conill, R. and Peters, C. (2020) ‘(Against a) Theory of Audience Engagement with News’, Journalism studies (London, England), 21(12), pp. 1662–1680. 

# data[].attributes.subject
Steensen, S., Ferrer-Conill, R. and Peters, C. (2020) ‘(Against a) Theory of Audience Engagement with News’, Journalism studies (London, England), 21(12), pp. 1662–1680. 

# data[].attributes.headline
George, J.J. and Leidner, D.E. (2019) ‘From clicktivism to hacktivism: Understanding digital activism’, Information and organization, 29(3), p. 100249–

# data[].attributes.subject
George, J.J. and Leidner, D.E. (2019) ‘From clicktivism to hacktivism: Understanding digital activism’, Information and organization, 29(3), p. 100249–

# data[].attributes.headline
Campbell, C. and Farrell, J.R. (2020) ‘More than meets the eye: The functional components underlying influencer marketing’, Business horizons, 63(4), pp. 469–479.

# data[].attributes.subject
Campbell, C. and Farrell, J.R. (2020) ‘More than meets the eye: The functional components underlying influencer marketing’, Business horizons, 63(4), pp. 469–479.

# data[].attributes.body
Influencers

Marketing campaign

Marketing research

# data[].attributes.headline
Pierri, F., Piccardi, C. and Ceri, S. (2020) ‘Topology comparison of Twitter diffusion networks effectively reveals misleading information’, Scientific reports, 10(1), pp. 1372–1372.

# data[].attributes.subject
Pierri, F., Piccardi, C. and Ceri, S. (2020) ‘Topology comparison of Twitter diffusion networks effectively reveals misleading information’, Scientific reports, 10(1), pp. 1372–1372.

# data[].attributes.headline
Sahly, A., Shao, C. and Kwon, K.H. (2019) ‘Social Media for Political Campaigns: An Examination of Trump’s and Clinton’s Frame Building and Its Effect on Audience Engagement’, Social media + society, 5(2), p. 205630511985514 

# data[].attributes.subject
Sahly, A., Shao, C. and Kwon, K.H. (2019) ‘Social Media for Political Campaigns: An Examination of Trump’s and Clinton’s Frame Building and Its Effect on Audience Engagement’, Social media + society, 5(2), p. 205630511985514 

# data[].attributes.headline
Romney, M. and Johnson, R.G. (2020) ‘Show me a story: narrative, image, and audience engagement on sports network Instagram accounts’, Information, communication & society, 23(1), pp. 94–109. 

# data[].attributes.subject
Romney, M. and Johnson, R.G. (2020) ‘Show me a story: narrative, image, and audience engagement on sports network Instagram accounts’, Information, communication & society, 23(1), pp. 94–109. 

# data[].attributes.headline
Subject term  'Influencers', citation : 

# data[].attributes.subject
Subject term  'Influencers', citation : 

# data[].attributes.body
Cotter, K. (2019) ‘Playing the visibility game: How digital influencers and algorithms negotiate influence on Instagram’, New media & society, 21(4), pp. 895–913.

# data[].attributes.body
Communication
Audience Engagement
Emotional

teensen, S., Ferrer-Conill, R. and Peters, C. (2020) ‘(Against a) Theory of Audience Engagement with News’, Journalism studies (London, England), 21(12), pp. 1662–1680.

# data[].attributes.body
Political Campaigns
Presidents
Mass media effects

Sahly, A., Shao, C. and Kwon, K.H. (2019) ‘Social Media for Political Campaigns: An Examination of Trump’s and Clinton’s Frame Building and Its Effect on Audience Engagement’, Social media + society, 5(2), p. 205630511985514–. Available at: https://doi.org/10.1177/2056305119855141.

# data[].attributes.body
1. Digital activism

2. Digital universilasm

3.

# data[].attributes.body
"activism", "Mass Media", "Digital Media"
Endeley, I.N. (2013) Virtual activism on Cameroon the CamNet Files. Oxford: Langaa RPCIG.

# data[].attributes.attachment_link.title
Viral feminism MeToo networked expressions in feminist Facebook groups

# data[].attributes.body
https://mdx.primo.exlibrisgroup.com/permalink/44MUN_INST/1td1jfj/cdi_crossref_primary_10_17645_mac_v1i1_70

# data[].attributes.body
Fear of Missing Out
Social Comparison
Cross-sectional Study

Citation - Talwar, S. et al. (2019) ‘Why do people share fake news? Associations between the dark side of social media use and fake news sharing behavior’, Journal of retailing and consumer services, 51, pp. 72–82. Available at: https://doi.org/10.1016/j.jretconser.2019.05.026.

# data[].attributes.body
https://mdx.primo.exlibrisgroup.com/discovery/fulldisplay?docid=cdi_crossref_primary_10_1108_OIR_06_2021_0305&context=PC&vid=44MUN_INST:hendon&lang=en&search_scope=Hendon_CI&adaptor=Primo%20Central&tab=default&query=any%2Ccontains%2CWhy%20do%20people%20share%20fake%20news&facet=citedby%2Cexact%2Ccdi_FETCH-LOGICAL-c342t-3cfda49c06e3533ce15e939e50baa79ccee9a778c315bd6c79f999c001330cbe3&offset=0

# data[].attributes.body
- news media
- public opinion
- partisanship

# data[].attributes.body
https://www-science-org.ezproxy.mdx.ac.uk/doi/10.1126/science.aao2998

# data[].attributes.attachment_link.description
We use browser cookies to track your session to give better experience. You can refer to our Cookie Policy for more details.

# data[].attributes.body
Psychology
Social sciences
Disinformation

Jang, S.M. and Kim, J.K. (2018) ‘Third person effects of fake news: Fake news regulation and media literacy interventions’, Computers in human behavior, 80, pp. 295–302. Available at: https://doi.org/10.1016/j.chb.2017.11.034.

# data[].attributes.body
Jones-Jang, S.M., Mortensen, T. and Liu, J. (2021) ‘Does Media Literacy Help Identification of Fake News? Information Literacy Helps, but Other Literacies Don’t’, The American behavioral scientist (Beverly Hills), 65(2), pp. 371–388. Available at: https://doi.org/10.1177/0002764219869406.

Lee, F.L.F. (2022) ‘What Constitutes Disinformation? Disinformation Judgment, Influence of Partisanship, and Support for Anti-Disinformation Legislation’, Journalism & mass communication quarterly, p. 107769902210939–. Available at: https://doi.org/10.1177/10776990221093940.

# data[].attributes.body
Meirick, P.C. (2005) ‘Rethinking the Target Corollary: The Effects of Social Distance, Perceived Exposure, and Perceived Predispositions on First-Person and Third-Person Perceptions’, Communication research, 32(6), pp. 822–843. Available at: https://doi.org/10.1177/0093650205281059.

# data[].attributes.body
Agent (Philosophy)

Context design

Facebook

Seargeant, P. and Tagg, C. (2019) ‘Social media and the future of open debate: A user-oriented approach to Facebook’s filter bubble conundrum’, Discourse, context & media, 27, pp. 41–48. Available at: https://doi.org/10.1016/j.dcm.2018.03.005.

COPY CITATION TO CLIPBOARD

# data[].attributes.body
1. Advertising creativity
2. Algorithmic gatekeeping
3. Creative process

Bozdag, E. (2013) ‘Bias in algorithmic filtering and personalization’, Ethics and information technology, 15(3), pp. 209–227. Available at: https://doi.org/10.1007/s10676-013-9321-6.

# data[].attributes.body
https://mdx.primo.exlibrisgroup.com/permalink/44MUN_INST/v1d30u/cdi_webofscience_primary_000821499100020

# data[].attributes.body
https://mdx.primo.exlibrisgroup.com/permalink/44MUN_INST/v1d30u/cdi_crossref_primary_10_1080_25741136_2018_1464741

# data[].attributes.body
Subject Terms:
1. Advertising
2. Business and Management
3. Marketing

Leung, F.F., Gu, F.F. and Palmatier, R.W. (2022) ‘Online influencer marketing’, Journal of the Academy of Marketing Science, 50(2), pp. 226–251. Available at: https://doi.org/10.1007/s11747-021-00829-4.

# data[].attributes.body
1) brand control
2) influencer marketing
3) commercial orientation

# data[].attributes.body
Martínez-López, F.J. et al. (2020) ‘Behind influencer marketing: key marketing decisions and their effects on followers’ responses’, Journal of marketing management, 36(7-8), pp. 579–607. Available at: https://doi.org/10.1080/0267257X.2020.1738525.

# data[].attributes.body
1.Animal Welfare
2.Biology and Life Sciences
3.Case studies

Clarke, T.A. et al. (2019) ‘A viral video and pet lemurs on Twitter’, PloS one, 14(1), pp. e0208577–e0208577. Available at: https://doi.org/10.1371/journal.pone.0208577.

# data[].attributes.headline
Kulkarni, K.K., Kalro, A.D. and Sharma, D. (2019) ‘Sharing of branded viral advertisements by young consumers: the interplay between personality traits and ad appeal’, The Journal of consumer marketing, 36(6), pp. 846–857.

# data[].attributes.subject
Kulkarni, K.K., Kalro, A.D. and Sharma, D. (2019) ‘Sharing of branded viral advertisements by young consumers: the interplay between personality traits and ad appeal’, The Journal of consumer marketing, 36(6), pp. 846–857.

# data[].attributes.body
1. Social Media
2. Social Networking
3. Applied Mathematics

# data[].attributes.body
Pierri, F., Piccardi, C. and Ceri, S. (2020) ‘Topology comparison of Twitter diffusion networks effectively reveals misleading information’, Scientific reports, 10(1), pp. 1372–1372. Available at: https://doi.org/10.1038/s41598-020-58166-5.

# data[].attributes.body
Adrija Dey, Kaitlynn Mendes. (2022) ‘It started with this one post’: #MeToo, India and higher education. Journal of Gender Studies 31:2, pages 204-215.

Valerie Dickel, Giulia Evolvi. (2022)

criminal justice system