• Title, Summary, Keyword: Public Opinion Research

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Newspapers Are Dead? A Case Study on Chinese Newspapers' Public Opinion Guidance in the Context of New Media

  • Ting, Yang
    • Asian Journal for Public Opinion Research
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    • v.8 no.1
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    • pp.22-40
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    • 2020
  • With social media booming, newspapers are facing an enormous challenge, and some have even had to exit the market. Likewise, their role as a main force of public opinion guidance in China has also been challenged. They have lost their vantage ground. The present study conducted a case study on one well-known Chinese online public opinion event. Through analyzing the newspapers' role played in different public opinion development stages, this study displayed how Chinese newspapers worked together and successfully guided online public opinion in that case. The newspapers' advantages in guiding public opinion and suggestions as to how newspapers can survive and guide public opinion in the new media era are put forward in the final section.

Analyzing Public Opinion with Social Media Data during Election Periods: A Selective Literature Review

  • Kwak, Jin-ah;Cho, Sung Kyum
    • Asian Journal for Public Opinion Research
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    • v.5 no.4
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    • pp.285-301
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    • 2018
  • There have been many studies that applied a data-driven analysis method to social media data, and some have even argued that this method can replace traditional polls. However, some other studies show contradictory results. There seems to be no consensus as to the methodology of data collection and analysis. But as social media-based election research continues and the data collection and analysis methodology keep developing, we need to review the key points of the controversy and to identify ways to go forward. Although some previous studies have reviewed the strengths and weaknesses of the social media-based election studies, they focused on predictive performance and did not adequately address other studies that utilized social media to address other issues related with public opinion during elections, such as public agenda or information diffusion. This paper tries to find out what information we can get by utilizing social media data and what limitations social media data has. Also, we review the various attempts to overcome these limitations. Finally, we suggest how we can best utilize social media data in understanding public opinion during elections.

The Infrastructure of Public Opinion Research in Japan

  • Kubota, Yuichi
    • Asian Journal for Public Opinion Research
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    • v.1 no.1
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    • pp.42-60
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    • 2013
  • This article introduces the infrastructure of public opinion research in Japan by reviewing the development of polling organizations and the current situation of social surveys. In Japan, the polling infrastructure developed through the direction and encouragement of the U.S. occupation authorities. In the early 1969s, however, survey researchers began to conduct their own original polls in not only domestic but also cross-national contexts. An exploration of recent survey trends reveals that polling organizations tended to conduct more surveys during summer, in the mid-range of sample size (1,000-2,999), based on random sampling (response rates of 40-50%), and through the mail between April 2011 and March 2012. The media was the most active polling sector.

Multi-Dimensional Index of Quality of Life: The Pakistan Case

  • Gilani, Bilal Ijaz;Salman, Rohail
    • Asian Journal for Public Opinion Research
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    • v.2 no.1
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    • pp.32-51
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    • 2014
  • Quality of Life in Pakistan is an understudied and rather unexplored domain. With various definitions and challenges to explaining quality of life, a public opinion poll and scientific surveys have been conducted in order to find out more about the quality of life in Pakistan. Using a nationally representative sample, this paper seeks to identify quality of life measures, find results, and analyze them to see what they mean, specifically in the context of Pakistan.

Public Opinion on Lockdown (PSBB) Policy in Overcoming COVID-19 Pandemic in Indonesia: Analysis Based on Big Data Twitter

  • Suratnoaji, Catur;Nurhadi, Nurhadi;Arianto, Irwan Dwi
    • Asian Journal for Public Opinion Research
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    • v.8 no.3
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    • pp.393-406
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    • 2020
  • The discourse on the lockdown in Indonesia is getting stronger due to the increasing number of positive cases of the coronavirus and the death rate. As of August 12, 2020, the confirmed number of COVID-19 cases in Indonesia reached 130,718. There were 85,798 victims who have recovered and 5,903 who have died. Data show a significant increase in cases of COVID-19 every day. For this reason, there needs to be an evaluation of the government policy of the Republic of Indonesia in dealing with the COVID-19 pandemic in Indonesia. An evaluation of policies for handling the pandemic must include public opinion to determine any weaknesses of this policy. The development of public opinion about the lockdown policy can be understood through social media. During the COVID-19 pandemic, measuring public opinion through traditional methods (surveys) was difficult. For this reason, we utilized big data on social media as research data. The main purpose of this study is to understand public opinion on the lockdown policy in overcoming the COVID-19 pandemic in Indonesia. The things observed included: volume of Twitter users, top influencers, top tweets, and communication networks between Twitter users. For the methodological development of future public opinion research, the researchers outline the obstacles faced in researching public opinion based on big data from Twitter. The research results show that the lockdown policy is an interesting issue, as evidenced by the number of active users (79,502) forming 133,209 networks. Posts about the lockdown on Twitter continued to increase after the implementation of the lockdown policy on April 10, 2020. The lockdown policy has caused various reactions, seen from the word analysis showing 14.8% positive sentiment, 17.5% negative, and 67.67% non-categorized words. Sources of information who have played the roles of top influencers regarding the lockdown policy include: Jokowi (the president of the Republic of Indonesia), online media, television media, government departments, and governors. Based on the analysis of the network structure, it shows that Jokowi has a central role in controlling the lockdown policy. Several challenges were found in this study: 1) choosing keywords for downloading data, 2) categorizing words containing public opinion sentiment, and 3) determining the sample size.