Volume 5, Issue 2 (Summer 2022)
Iranian Journal of Educational Sociology 2022, 5(2): 156-165 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Taghipour A A, Mohammad Taheri M R, Soltanifar M. (2022). Normalization (Standardization) of Rumors Acceptance Questionnaire among Audience of Social Networking Apps. Iranian Journal of Educational Sociology. 5(2), 156-165. doi:10.61186/ijes.5.2.156
URL: http://iase-idje.ir/article-1-1114-en.html
URL: http://iase-idje.ir/article-1-1114-en.html
1- PhD Student, Department of Communication, UAE Branch, Islamic Azad University, Dubai, UAE.
2- Assistant Professor, Department of Social Communication, Central Tehran Branch, Islamic Azad University, Tehran, Iran
3- Associate Professor, Department of Media Management, Science and Research Branch, Islamic Azad University, Tehran, Iran.
2- Assistant Professor, Department of Social Communication, Central Tehran Branch, Islamic Azad University, Tehran, Iran
3- Associate Professor, Department of Media Management, Science and Research Branch, Islamic Azad University, Tehran, Iran.
Abstract: (1917 Views)
Purpose: Today, using social networking apps has developed a lot. For this reason, the present study was conducted to normalize rumors acceptance questionnaire among the audience of social networking apps.
Methodology: The present study was applied in terms of objective and descriptive correlational in terms of correlation type. The research population consisted of active Iranian audiences in Telegram and Instagram during 2019-2020. The sample size was estimated to be n=368, who were selected using the convenience sampling method, respecting the proportion of users of Telegram and Instagram. The data were collected by rumors acceptance questionnaire (Kim & Bock, 2011) and analyzed by confirmatory factor analysis (CFA) and one-sample t-test using SPSS.
Findings: The results showed that the rumor acceptance questionnaire had 48 items and five factors of rumor transmission, reasoning, negative emotions, credibility and believing, and the factor loading of all items and their factors were above 0.40. In addition to confirming the construct validity of the tool by the factor analysis, the content validity of the tool according to the opinion of experts and reliability by Cronbach's alpha for the five factors were 0.91, 0.87, 0.83, 0.88 and 0.92; and 0.95 for the tool, respectively. Other results showed that the average acceptance of rumors and its factors were higher than the average except for rumor transmission, which was lower than the average (P<0.05).
Conclusion: The rumors acceptance questionnaire among the audience of social networking apps had good validity and reliability. Therefore, the above tool can be used by other researchers to check the acceptance of rumors.
Methodology: The present study was applied in terms of objective and descriptive correlational in terms of correlation type. The research population consisted of active Iranian audiences in Telegram and Instagram during 2019-2020. The sample size was estimated to be n=368, who were selected using the convenience sampling method, respecting the proportion of users of Telegram and Instagram. The data were collected by rumors acceptance questionnaire (Kim & Bock, 2011) and analyzed by confirmatory factor analysis (CFA) and one-sample t-test using SPSS.
Findings: The results showed that the rumor acceptance questionnaire had 48 items and five factors of rumor transmission, reasoning, negative emotions, credibility and believing, and the factor loading of all items and their factors were above 0.40. In addition to confirming the construct validity of the tool by the factor analysis, the content validity of the tool according to the opinion of experts and reliability by Cronbach's alpha for the five factors were 0.91, 0.87, 0.83, 0.88 and 0.92; and 0.95 for the tool, respectively. Other results showed that the average acceptance of rumors and its factors were higher than the average except for rumor transmission, which was lower than the average (P<0.05).
Conclusion: The rumors acceptance questionnaire among the audience of social networking apps had good validity and reliability. Therefore, the above tool can be used by other researchers to check the acceptance of rumors.
Type of Study: Research Article |
Subject:
Special
Received: 2021/10/31 | Accepted: 2021/12/1 | Published: 2022/09/22
Received: 2021/10/31 | Accepted: 2021/12/1 | Published: 2022/09/22
References
1. Abidin D, Han B. (2018). Organizational rumor scale for educational institutions. Universal Journal of Educational Research. 6(5): 936-946. [DOI:10.13189/ujer.2018.060515]
2. Azarshin SA, TajikEsmaeili S. (2018). An investigation into the believability of the phenomenon of rumor in mobile messenger in city of Ahvaz with regard to the role of national media. Culture-Communication Studies. 18(40): 65-94. [Persian]
3. Babaei Aghbolagh M. Sattari Ardabili F. (2018). Investigating the constructs of psychosocial and organizational gossip behavior. Journal of Psychological Science. 17(69): 545-556. [Persian]
4. Bodaghi A, Oliveira J. (2020). The characteristics of rumor spreaders on Twitter: A quantitative analysis on real data. Computer Communications. 160: 674-687. [DOI:10.1016/j.comcom.2020.07.017]
5. Gandi JC. (2019). Rumor scale development. Quantitative Psychology. 429-447. [DOI:10.1007/978-3-030-01310-3_37]
6. Kim JH, Bock GW. (2011). A study on the factors affecting the behavior of spreading online rumors: Focusing on the rumor recipient's emotions. Australia: Pacific Asia Conference on Information Systems. 7-11.
7. Liu W, Wu X, Yang W, Zhu X, Zhong S. (2019). Modeling cyber rumor spreading over mobile social networks: A compartment approach. Applied Mathematics and Computation. 343: 214-229. [DOI:10.1016/j.amc.2018.09.048]
8. Moghimi SM, Ghafari R. (2016). Managers' obligation to ethics and rumors management in public organizations. Organizational Culture Management. 14(1): 1-26. [Persian]
9. Nevo O, Nevo B, Derech-Zehavi A. (1993). The development of the tendency to gossip questionnaire: Construct and concurrent validation for a sample of Israeli college students. Educational and Psychological Measurement. 53(4): 973-981. [DOI:10.1177/0013164493053004010]
10. Ni Q, Guo J, Huang C, Wu W. (2020). Community-based rumor blocking maximization in social networks: Algorithms and analysis. Theoretical Computer Science. 840: 257-269. [DOI:10.1016/j.tcs.2020.08.030] [PMID] [PMCID]
11. Rivero O. (2013). Rumors in the workplace affecting organizational change readiness. Global Journal of Management and Business Research Administration and Management. 13(12): 50-53.
12. Saffarinia M, Mazidi AM, Saffarinia M. (2016). A comparison between spreading internet rumors and narcissism among face book, internet, and non-internet users. Social Cognition. 5(1): 68-82. [Persian]
13. Shahamatinejad S. (2021). The relationship between health anxiety and emotion regulation with rumors on social networks during the COVID-19 pandemic. Journal of Assessment and Research in Counseling and Psychology. 3(1): 38-48. [Persian] [DOI:10.52547/jarcp.3.1.38]
14. Shams M, Forghani M. (2019). The role of social networks in generating rumors in election periods (Case study: Instagram). Quarterly Scientific Journal of Audio-Visual Media. 12(28): 95-120. [Persian]
15. Sudhir S, Unnithan AB. (2014). Measuring consumer motivations to share rumors: Scale development. International Journal of Online Marketing. 4(3): 51-67. [DOI:10.4018/ijom.2014070104]
16. Torkaman F, Shahabi Z. (2016). Rumor and the effective social factors on rumor adoption. The Socio-Cultural Research Journal of Rahbord. 5(2): 191-215. [Persian]
17. Yao X, Gu Y, Gu C, Huang H. (2022). Fast controlling of rumors with limited cost in social networks. Computer Communications. 182: 41-51. [DOI:10.1016/j.comcom.2021.10.041]
18. Yu S, Yu Z, Jiang H, Yang S. (2021). The dynamics and control of 2I2SR rumor spreading models in multilingual online social networks. Information Sciences. 581: 18-41. [DOI:10.1016/j.ins.2021.08.096]
19. Yu Z, Lu S, Wang D, Li Z. (2021). Modeling and analysis of rumor propagation in social networks. Information Sciences. 580: 857-873. [DOI:10.1016/j.ins.2021.09.012]
Send email to the article author
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
.jpg)
