Sociology Project Topics

Effect of Twitter Ban on Humanitarian Service and Social Support

Effect of Twitter Ban on Humanitarian Service and Social Support

Effect of Twitter Ban on Humanitarian Service and Social Support

CHAPTER ONE

OBJECTIVE OF THE STUDY

The main objective of this study is to examine the effect of twitter ban on humanitarian services and social support. Specifically the study will

  1. Examine the extent to which crisis victim received prompt response through twitter hashtags before the twitter ban in Nigeria.
  2. Investigate the extent to which social support was given to those in dare need through twitter post before the twitter ban in Nigeria.
  3. Examine if the current twitter ban in Nigeria will affect subsequently humanitarian activities of NGO’s and other social support organizations.
  4. To determine the nature of the effect twitter ban will have on crisis victims.

CHAPTER TWO

LITERATURE REVIEW

INTRODUCTION

Our focus in this chapter is to critically examine relevant literature that would assist in explaining the research problem and furthermore recognize the efforts of scholars who had previously contributed immensely to similar research. The chapter intends to deepen the understanding of the study and close the perceived gaps.

CONCEPTUAL FRAME WORK

SOCIAL MEDIA

Social media are computer-mediated technologies that facilitate the creation and sharing of information, ideas, career interests and other forms of expression via virtual communities and networksUsers typically access social media services via web-based technologies on desktop computers, and laptops, or download services that offer social media functionality to their mobile devices (e.g., smartphones and tablet computers). When engaging with these services, users can create highly interactive platforms through which individuals, communities and organizations can share, cocreate, discuss, and modify user-generated content or pre-made content posted online. They introduce substantial and pervasive changes to communication between businesses, organizations, communities and individuals. Social media changes the way individuals and large organizations communicate. These changes are the focus of the emerging field of technoself studies. Social media differ from paper-based media (e.g., magazines and newspapers) or traditional electronic media such as TV broadcasting in many ways, including quality, reach, frequency, interactivity, usability, immediacy, and permanence. Social media operate in a dialogic transmission system (many sources to many receivers). This is in contrast to traditional media which operates under a monologic transmission model (one source to many receivers), such as a paper newspaper which is delivered to many subscribers or a radio station which broadcasts the same programs to an entire city. Some of the most popular social media websites are Baidu Tieba, Facebook (and its associated Facebook Messenger), Gab, Google+, Instagram, LinkedIn, Pinterest, Reddit, Snapchat, Tumblr, Twitter, Viber, VK, WeChat, Weibo, What sApp, Wikia, and YouTube.

 

CHAPTER THREE

RESEARCH METHODOLOGY

AREA OF STUDY

Kaduna, state, north-central Nigeria. Its area includes the traditional emirate of Zaria and Jemaa town. Kaduna was substantially reduced in size when its northern half became Katsina state in 1987. Kaduna is bordered by the states of Zamfara, Katsina, and Kano to the north; Bauchi and Plateau to the east; Nassawara to the south; and Niger to the west. Abuja Federal Capital Territory also borders Kaduna state to the southwest.

CARE (Cooperative for Assistance and Relief Everywhere, formerly Cooperative for American Remittances to Europe is a major international humanitarian agency delivering emergency relief and long-term international development projects. Founded in 1945, CARE is nonsectarian, impartial, and non-governmental. It is one of the largest and oldest humanitarian aid organizations focused on fighting global poverty. CaRE NGO in Nigeria’s vision is to strategically empower less privileged communities, individuals, and self help groups to take up development of themselves.

CHAPTER FOUR

DATA PRESENTATION AND ANALYSIS

INTRODUCTION

This chapter presents the analysis of data derived through the questionnaire and key informant interview administered on the respondents in the study area. The analysis and interpretation were derived from the findings of the study. The data analysis depicts the simple frequency and percentage of the respondents as well as interpretation of the information gathered. A total of fifty-five (55) were administered to respondents of which all were returned and validated.  Thus for this study a total of  55 was validated for the analysis.

CHAPTER FIVE

SUMMARY, CONCLUSION AND RECOMMENDATION

SUMMARY

The aim of this study is to examine the effect of twitter ban on humanitarian services and social support using CARE NGO Kaduna State Branch as case study. Survey Research design was employed for the study and using convenience sampling method 55 participant who are Volunteer, Field Staffs and Management staff in CARE NGO. 55 well structured questionnaire was issued to the respondent of which all were returned and validated for the study. Data was analyzed using frequency and tables.

CONCLUSION

The social media explosion of the last decade has had remarkable effects on many aspects of everyday life. Just as humanitarian crises became “closer to home” with the advent of televised news, social media has once again cut down the space between victims and witnesses and the civic societies who opt to provide humanitarian aid and non-governmental organization that provides social support services.Social media such as Twitter raises public awareness and quick situational report of crisis areas hence facilitates quick responses such as fund raising, shelter plans for those displaced, care for refugees, security and justice where need be.

Findings from the study reveals that, the current twitter ban in Nigeria will subsequently affect humanitarian activities of NGO’s and other social support organizations. the ban silences citizens who have found their voice through social media.

  • It will reduce the speed at which crisis victims receives emergency support from NGO’s .
  • It will delay the awareness of NGO’s about crisis situations due to lack of quick communication hence victims suffers long.
  • Twitter ban will delay quick humanitarian interventions hence crises casualties may increase.

RECOMMENDATION

From the findings of the study, the researcher suggested that strongly endorses future research on social media postings and their relation to humanitarian responses. There is a massive amount of data stored from recent humanitarian crises, and an equally massive amount of potential links and trends that can be identified. By evaluating timelines that incorporate social media data, timing of humanitarian responses, and local activity, respondents (crisis victims) can be better prepared for future crises and understand how the events correlate with one another. It is through practice, preparation, and familiarity that social media can be used to the fullest in humanitarian responses. Social media can be an extremely effective tool in these situations, and by optimizing its use, respondents can better uphold the humanitarian imperative and alleviate suffering for more victims of humanitarian crises. More so NGOs can opt for other social platforms in disseminating crisis information and post more of field agent through state to to deployment that will have a face to face interaction with respondents during  crisis situations.

REFERENCE

  • Amy, p, (2010, May 29). Three New studies prove social media marketing growth. Retrieved October 4, 2010 from http://www.disqus.com
  • Augoye, J. (2012, February, 7). Nigeria third tweeting nation in Africa- report. Retrieved from www.punchng.com/feature/nigeria-third of tweeting nation in Africa.
  • Barnes, N. G., & Mattson, E. (2009). Social media in the 2009 Inc. 500: new tools & New Trends. Retrieved February 2, 2010, from center for marketing research, University of Massachusetts Dartmouth: http://www.umassd.edu/cmr/studiesresearch/socialmedia2009.pdf
  • Barros, S. (2009, September 21). 5 Social media disasters. Retrieved February 17, 2010, from Penn Olson: http://www.penn-olson.com/2009/09/21/5-social- mediadisasters/
  • Beth, H. (2010). Social media versus classical marketing. Retrieved October 4, 2010 from http://ww the hart of marketing.com/2010/3/social media –vs- classicalmarketing HTML (Blog post).
  • Boyd, D M. & Nicole B. E. (2007). Social network sites: definition, history, and scholarship. Journal of Computer-Mediated Communication, 13 (1) http://jcmc.indiana.edu/vol13/issue1/boyd.ellison.html.
  •  Brett, B. (2009, June 2). A Brief History of social media. Retrieved from http//:en.Wikipedia.org/wiki social media history.Higher Education.
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