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Citizen journalism practices during COVID-19 in spotlight: influence of user-generated contents about economic policies in perceiving government performance

Raza, Syed Hassan, Emenyeonu, Ogadimma C., Yousaf, Muhammad, Iftikhar, Moneeba·2022·Information Discovery and Delivery
DOI 10.1108/idd-09-2020-0118
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Abstract

Purpose: Citizen journalism practices through social networking sites are increasingly becoming an imperative source of public opinion formation. Given the increase in the volume of information sharing on social media during COVID-19, this study aims to grasp the largely unknown interaction of the individual’s trust in citizen journalism practices and public perception formulation. Drawing on this idea, the study has twofold objectives: first, to examine the influence of user-generated information about economic policies of government during COVID-19 as the antecedent of public perception about government performance and second, to identify the moderating role of trust in citizen journalism practices during COVID-19 through social networking sites. Design/methodology/approach: The study used a survey method and a sample of 464 adults were collected through an online administrated questionnaire. Findings: The findings specify that user-generated content that is pro-government economic policies during COVID-19 positively influenced the perception of government performance. On the other hand, user-generated information that criticized government economic policies had a negative influence on public perception. Originality/value: This study seeks to intensify the understudied phenomenon of how nature and source of the information could interact to influence one’s information processing during a crisis such as pandemic COVID-19. Furthermore, only a little research has been conducted in this area focusing on two mechanisms, namely; citizen journalism and trust in social media user-generated information about prevailing economic insecurities during crisis provided through citizen journalism.

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Crossref · 10.1108/idd-09-2020-0118

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Research works printed but not linked: 67

  1. 2017, Pakistani government–news media relationships: how relevant are Western journalistic values?, Journalism Studies, 18, 65, 10.1080/1461670X.2016.1221738 · DOI
  2. 2010, This is citizen journalism at its finest:’ YouTube and the public sphere in the Oscar grant shooting incident, New Media & Society, 12, 1280, 10.1177/1461444810362492 · DOI
  3. 2020, COVID-19 and the 5G conspiracy theory: social network analysis of Twitter data, Journal of Medical Internet Research, 22, e19458, 10.3390/ijerph17218235 · DOI
  4. 2020, Covid-19 and the “film your hospital” conspiracy theory: social network analysis of twitter data, Journal of Medical Internet Research, 22, e22374, 10.2196/22374 · DOI
  5. 2017, Online news creation, trust in the media, and political participation: direct and moderating effects over time, Journalism, 19, 10.1177/1464884917700447 · DOI
  6. 2013, Do you want the good news or the bad news? Gain-versus loss-framed messages following health risk information: the effects on leisure time physical activity beliefs and cognitions, Health Psychology, 32, 1188, 10.1037/a0030126 · DOI
  7. 2015, Theorizing citizenship in citizen journalism, Digital Journalism, 3, 704, 10.1080/21670811.2014.937150 · DOI
  8. 2018, Facebook in the news: social media, journalism, and public responsibility following the 2016, Digital Journalism, 6, 4, 10.1080/21670811.2017.1298044 · DOI
  9. 2014, Cynics and skeptics: evaluating the credibility of mainstream and citizen journalism, Journalism & Mass Communication Quarterly, 91, 452, 10.1177/1077699014538828 · DOI · Paper page
  10. 2016, All that glitters is not gold: do materialistic cues in advertising yield resistance?, Young Consumers, 17, 183, 10.1108/YC-12-2015-00573 · DOI
  11. 2015, Do online hotel rating schemes influence booking behaviors?, International Journal of Hospitality Management, 49, 28, 10.1016/j.ijhm.2015.05.005 · DOI
  12. 2015, Internet, news, and political trust: the difference between social media and online media outlets, Journal of Computer-Mediated Communication, 20, 487, 10.1111/jcc4.12129 · DOI
  13. 2020, An elaboration likelihood model of consumer respond action to Facebook second-hand marketplace: impulsiveness as a moderator, Information & Management, 57, 103171, 10.1016/j.im.2019.103171 · DOI
  14. 2020, Towards countering hate speech against journalists on social media, Online Social Networks and Media, 17, 100071, 10.1016/j.osnem.2020.100071 · DOI
  15. 2017, User-orientated perspective of social media used by campaigns, Telematics and Informatics, 34, 811, 10.1016/j.tele.2016.05.016 · DOI
  16. 2015, The use of social media in travel information search, Telematics and Informatics, 32, 215, 10.1016/j.tele.2014.08.005 · DOI · Paper page
  17. 2018, The economy. How do the media cover it and what are the effects? A literature review, Sociology Compass, 12, e12579, 10.1111/soc4.12579 · DOI
  18. 2020, COVID‐19 and the future of family business research, Journal of Management Studies, 57, 1727, 10.1111/joms.12632 · DOI
  19. 2018, Can trust in traditional news media explain cross-national differences in news exposure of young people online? A comparative study of Israel, Norway and the United Kingdom, Digital Journalism, 6, 216, 10.1080/21670811.2017.1332484 · DOI
  20. 2015, Public engagement in local government: the voice and influence of citizens in online communicative spaces, Information, Communication & Society, 18, 680, 10.1080/1369118X.2014.986180 · DOI
  21. 2017, The impact of trust in the news media on online news consumption and participation, Digital Journalism, 5, 1281, 10.1080/21670811.2017.1279979 · DOI
  22. 2020, Effects of economic uncertainty on mental health in the COVID-19 pandemic context: social identity disturbance, job uncertainty and psychological well-being model, International Journal of Innovation and Economic Development, 6, 61, 10.18775/ijied.1849-7551-7020.2015.61.2005 · DOI
  23. 2016, Readers’ perception of computer-generated news: credibility, expertise, and readability, Journalism, 19, 10.1177/1464884916641269 · DOI · Paper page
  24. 2016, Getting through the gate: statistical and methodological issues raised in the reviewing process, Organizational Research Methods, 19, 402, 10.1177/1094428116631417 · DOI
  25. 2014, A primer on partial least squares structural equation modeling (PLS-SEM), Long Range Planning, 46, 10.1016/j.lrp.2013.01.002 · DOI
  26. 2016, The sharing economy: why people participate in collaborative consumption, Journal of the Association for Information Science and Technology, 67, 2047, 10.1002/asi.23552 · DOI · Paper page
  27. 1993, The elaboration likelihood model as a theory of attitude formation: a mathematical analysis, Communication Theory, 3, 50, 10.1111/j.1468-2885.1993.tb00056_3_1.x · DOI
  28. 2021, Information technology solutions, challenges, and suggestions for tackling the COVID-19 pandemic, International Journal of Information Management, 57, 102287, 10.1016/j.ijinfomgt.2020.102287 · DOI
  29. 2017, Bridging design and behavioral research with variance-based structural equation modeling, Journal of Advertising, 46, 178, 10.1080/00913367.2017.1281780 · DOI
  30. 2014, Common beliefs and reality about PLS, Organizational Research Methods, 17, 182, 10.1177/1094428114526928 · DOI · Paper page
  31. 2016, Using PLS Path Modeling in New Technology Research: updated Guidelines. Industrial Management & Data Systems, 116, 2, 10.1108/IMDS-09- 2015-0382 · DOI
  32. 2011, Fluid spaces, fluid journalism, Participatory Journalism: Guarding Open Gates at Online Newspapers, 177, 10.1002/9781444340747.ch10 · DOI
  33. 2013, #journalism, Digital Journalism, 1, 295, 10.1080/21670811.2013.808456 · DOI
  34. 2012, Do we need to go cellular?, Mass Communication and Society, 15, 284, 10.1080/15205436.2011.642926 · DOI
  35. 1998, A brief tutorial on the development of measures for use in survey questionnaires, Organizational Research Methods, 1, 104, 10.1177/109442819800100106 · DOI · Paper page
  36. 2015, Applying the theory of planned behavior and media dependency theory: predictors of public pro-environmental behavioral intentions in Singapore, Environmental Communication, 9, 77, 10.1080/17524032.2014.932819 · DOI
  37. 2014, Credibility of social network sites for political information among politically interested internet, Journal of Computer-Mediated Communication, 19, 957, 10.1111/jcc4.12084 · DOI
  38. 2003, The effects of source credibility and message framing on exercise intentions, behaviors, and attitudes: an integration of the elaboration likelihood model and prospect theory, Journal of Applied Social Psychology, 33, 179, 10.1111/j.1559-1816.2003.tb02078.x · DOI
  39. 2017, Impacts of social media (facebook) on human communication and relationships, International Journal of Knowledge Content Development & Technology, 7, 27
  40. 2017, News priming and the changing economy: how economic news influences government evaluations, International Journal of Public Opinion Research, 29, 269, 10.1093/ijpor/edv048 · DOI
  41. 2010, Citizen journalism and democracy: how user-generated news use relates to political knowledge and participation, Journalism & Mass Communication Quarterly, 87, 515, 10.1177/107769901008700305 · DOI
  42. 2015, Does traditional advertising theory apply to the digital world? A replication analysis questions the relevance of the elaboration likelihood model, Journal of Advertising Research, 55, 390, 10.2501/JAR-2015-001 · DOI
  43. 2012, Interacting is believing? Examining bottom-up credibility of blogs among politically interested internet users, Journal of Computer-Mediated Communication, 17, 422, 10.1111/j.1083-6101.2012.01583.x · DOI
  44. 2016, Predicting selfie-posting behavior on social networking sites: an extension of theory of planned behavior, Computers in Human Behavior, 62, 116, 10.1016/j.chb.2016.03.078 · DOI
  45. 2007, Trust in news media: development and validation of a multidimensional scale, Communication Research, 34, 231, 10.1177/0093650206298071 · DOI
  46. 2021, The wide range of national reactions to the common COVID-19 shock: observations on causes and effects, Journal of Chinese Economic and Business Studies, 18, 1, 10.1080/14765284.2020.1855928 · DOI
  47. 2020, How did we get here? Short history of COVID-19 and other coronavirus-related epidemics, Head & Neck, 42, 1535, 10.1002/hed.26275 · DOI
  48. 2014, The impact of online user-generated satire on young people’s political attitudes: testing the moderating role of knowledge and discussion, Telematics and Informatics, 31, 397, 10.1016/j.tele.2013.08.002 · DOI
  49. 2019, Do electronic word-of-mouth and elaboration likelihood model influence hotel booking?, Journal of Computer Information Systems, 59, 146, 10.1080/08874417.2017.1320953 · DOI
  50. 2020, Efficiently discovering users connectivity with local information in online social networks, Online Social Networks and Media, 16, 100062, 10.1016/j.osnem.2020.100062 · DOI
  51. 2020, Data mining and content analysis of the Chinese social media platform weibo during the early COVID-19 outbreak: retrospective observational infoveillance study, JMIR Public Health and Surveillance, 6, e18700, 10.2196/18700 · DOI
  52. 2018, Unpacking medium effects on social psychological processes in computer-mediated communication using the social relations model, Journal of Computer-Mediated Communication, 23, 90, 10.1093/jcmc/zmy002 · DOI
  53. 2021, The effects of COVID-19 on global economic output and sustainability: evidence from around the world and lessons for redress, Sustainability: Science, Practice and Policy, 17, 77, 10.1080/15487733.2020.1860345 · DOI
  54. 2017, Studies of user-generated content: a systematic review, Journalism, 18, 1256, 10.1177/1464884916673557 · DOI · Paper page
  55. 2012, Information, expression, participation: how involvement in user-generated content relates to democratic engagement among young people, New Media & Society, 14, 1004, 10.1177/1461444812438212 · DOI
  56. 2017, Citizen news podcasts and journalistic role conceptions in the United States and South Korea, Journalism Practice, 11, 1158, 10.1080/17512786.2016.1224682 · DOI
  57. 1986, The elaboration likelihood model of persuasion, 1, 10.1007/978-1-4612-4964-1_1 · DOI · Paper page
  58. 2017, Uses and gratifications of social networking sites for bridging and bonding social capital: a comparison of Facebook, Twitter, Instagram, and snapchat, Computers in Human Behavior, 72, 115, 10.1016/j.chb.2017.02.041 · DOI · Paper page
  59. 2007, Addressing moderated mediation hypotheses: theory, methods, and prescriptions, Multivariate Behavioral Research, 42, 185, 10.1080/00273170701341316 · DOI · Paper page
  60. 2016, We the people: Citizen journalism in the era of social media, 10.1057/978-1-137-48069-9_4 · DOI
  61. 2015, Online social media and political awareness in authoritarian regimes, British Journal of Political Science, 45, 29, 10.1017/S0007123413000203 · DOI
  62. 2016, Misinformation and motivated reasoning responses to economic news in a politicized environment, Public Opinion Quarterly, 81, 86, 10.1093/poq/nfw043 · DOI
  63. 2009, Understanding the appeal of user-generated media: a uses and gratification perspective, Internet Research, 19, 7, 10.1108/10662240910927795 · DOI · Paper page
  64. 2015, Beyond the Western masses: demography and perceptions of the credibility of Pakistani media, International Journal of Communication, 9, 2282
  65. 2017, The use of Facebook for information seeking, decision support, and self-organization following a significant disaster, Information, Communication & Society, 20, 1680, 10.1080/1369118X.2016.1253762 · DOI
  66. 2014, User-generated visibility: secondary gatekeeping in a shared media space, New Media & Society, 16, 55, 10.1177/1461444813477833 · DOI
  67. 2012, Understanding users’ initial trust in mobile banking: an elaboration likelihood perspective, Computers in Human Behavior, 28, 1518, 10.1016/j.chb.2012.03.021 · DOI

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Metadata

Authors
Raza, S. H., Emenyeonu, O. C., Yousaf, M., & Iftikhar, M.
Venue
Information Discovery and Delivery
Publisher
Emerald
Published
2021-05-15
Volume
50
Issue
2
Pages
142-154
ISSN
2398-6247
DOI
10.1108/idd-09-2020-0118
Cited by
13
References
8
Language
en
Licence
www.emerald.com/insight/site-policies (tdm)

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