• Journal of Information Science Theory and Practice
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• v.8 no.3
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• pp.77-90
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• 2020

This study analyzes N=181 social media rumors from Bangladesh to find out the most popular themes, sources, and aims. The result shows that social media rumors have seven popular themes: political, health & education, crime & human rights, religious, religiopolitical, entertainment, and other. Also, online media and mainstream media are the two main sources of social media rumors, along with three tentative aims: positive, negative, and unknown. A few major findings of this research are: Political rumors dominate social media, but its percentage is decreasing, while religion-related rumors are increasing; most of the social media rumors are negative and emerge from online media, and social media itself is the dominant online source of social media rumors; and, most of the health-related rumors are negative and surge during a crisis period, such as the COVID-19 pandemic. This paper identifies some of its limitations with the data collection period, data source, and data analysis. Providing a few research directions, this study also elucidates the contributions of its results in academia and policymaking.

• Journal of Korean Academy of Nursing
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• v.8 no.2
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• pp.63-77
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• 1978

Studies pertaining to influential factors on adoption and practice of family planning are very much needed to lower fertility, for family planning has regarded as only one social acceptable means to curb the accelerated population growth. One of the influential factors is known as rumors on family planning methods that hinder the actual practice of family planning. This study generally aimed at disclosing rumors on family planning methods prevalent in rural communities so that one could gain some in sights to cope with the ill effects of rumors to promote family planning Practice in rural communities in Korea. In order to accomplish the general aims this study formulated following four specific objectives; 1. Find out types and frequencies of rumors exposed of contraceptive methods. 2. Find out the relationship between the rumors exposed and socio-economic and demographic characteristics of new village leaders and health workers. 3. Examine the relationship between family planing rumors and family planning practices. The materials for this study were drawn from the two different sets of data gathered in July and Octorber 1977 respectivily by Center for Population ＆ family Planning, Yon sei University. One is current family planning practice among eligible women reaiding in 4 Myuns in Kwang Wha country and the other is Survey on Rumor on family planning method heard by new village leaders and health workers in the four myuns. The four Myuns were divided into 60 small areas. Current family planning practice rate in each small area and as a whole were calculated. The unit of analysis in this study was not the indviduel person but the 55 small areas. Percentage, average, F-Test t-test and a coefficient of correlation were used for statistical analysis. Results of this study could be summarized as follows: 1. Rumors by different method of contraception: Medical complications, gastro-intestinal disorders, and difficulty in usage one most prevalent rumors about oral pills. Around 49% -77% of the 55 areas were often heard and the most frequent rumor was related medical complications of oral pills. Rumors on medical complications and incomplete effect of intrauterines as contraceptive were heard 51-66% of the 55 small areas. Rumors that vasectomy resulted in family problems, for instance infiedelity of spouse were often heard to 44% of the 55 small areas. 2. Rumors by socio-economic and demographic characteristic of new village leader and health workers: Among the demographic characteristics such as sex, age and sex composition of children, sex and age differentials in frequency of rumors heard more observed, Female new village health workers have heard more frequently than male new village leader. (t = 7.137, p> 0.01, d.f. = 53, a coefficient of correlation 0.27, p>0.05) The Younger age group less than 40 years of age have heard rumors of than the group over 40 years old. (t = 7.18, p>0.01, d.f. = 53, a coefficient of correlation 0.27, p>0.05) However, it was not observable that a consistent sex and age differentials in frequency of rumors heard of each contraceptive mettled, But, more female new village health works heard of rumors about intrauterine device than male new village leaders. (t = 0.497, p> 0.01, d.f. = 53, a coefficient of correlatin 0.32, p>0.01) 3. It was found that there was no statistically significant relationship between the frequency of rumors heard and current family planning practices on the whole, However, frequency of rumors heard about vasectomy appeared to have a positive relationship with current practice of vasectomy. A rather consistent pattern of relationship between“requency of rumors heard”and current family practice rate was demonstrated of 10 graphes which showed the relation between the two variagles. The current family planning practice rate in the“never heard”group and “frequently heard”group was equally lower than that in“often heard”group. The relatively consistent ∩ pattern of relationship needs to be farther investigated, for this pattern is different from the relationship that has been assumed to exist between these two variables.

• Journal of Contemporary Eastern Asia
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• v.21 no.2
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• pp.1-12
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• 2022

A good story persuades people to act. The mobilizing power of a story, however, does not necessarily rely on informational fidelity. During political unrests, word-of-mouth can intermix facts with unverified claims and emotional outrage, often transforming reality into convincing rumor stories. This rapid communication article discusses how rumor publics (dis)approve and participate in 2019 Hong Kong Protests. This survey study finds that police injustice and brutality were the predominant themes of the collected rumor stories, although some stories contained mixed views or anti-protest claims. Rumors of police injustice and brutality were associated with less negative attitudes toward the protests, especially when respondents believed the story. The relationship between rumor stories and protest participation was less obvious, except for rumors about an individual protester's whereabout. This study discusses the ways in which rumor is embedded in contentious political processes.

• Journal of Internet Computing and Services
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• v.18 no.6
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• pp.113-125
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• 2017

This study focused on the difference between the volume of rumors and types of rumors via social media based on case studies and network analysis. Rumors are classified into core statement, peripheral statement, core gossip, and peripheral gossip based on their factuality and influence. The diffusion of opinions via social media is classified into dispersive mob, solid mob, dispersive minority, and solid minority based on the volume of node and its interactivity. The results of this study show that, core gossip is actively dispersed. Users are more interested in the influence of rumor than in rumors that appear the be factual. This study highlighted what the role of government when rumor is diffusing and in the aspect of message what the characteristic of rumor.

• International Journal of Internet, Broadcasting and Communication
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• v.11 no.2
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• pp.50-58
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• 2019

The clear and specific objective of this study is to design a false news discriminator algorithm for news articles transmitted on a text-based basis and an architecture that builds it into a system (H/W configuration with Hadoop-based in-memory technology, Deep Learning S/W design for bigdata and SNS linkage). Based on learning data on actual news, the government will submit advanced "fake news" test data as a result and complete theoretical research based on it. The need for research proposed by this study is social cost paid by rumors (including malicious comments) and rumors (written false news) due to the flood of fake news, false reports, rumors and stabbings, among other social challenges. In addition, fake news can distort normal communication channels, undermine human mutual trust, and reduce social capital at the same time. The final purpose of the study is to upgrade the study to a topic that is difficult to distinguish between false and exaggerated, fake and hypocrisy, sincere and false, fraud and error, truth and false.

• Journal of Preventive Medicine and Public Health
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• v.53 no.3
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• pp.171-174
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• 2020

The coronavirus disease 2019 (COVID-19) pandemic has not only caused significant challenges for health systems all over the globe but also fueled the surge of numerous rumors, hoaxes, and misinformation, regarding the etiology, outcomes, prevention, and cure of the disease. Such spread of misinformation is masking healthy behaviors and promoting erroneous practices that increase the spread of the virus and ultimately result in poor physical and mental health outcomes among individuals. Myriad incidents of mishaps caused by these rumors have been reported globally. To address this issue, the frontline healthcare providers should be equipped with the most recent research findings and accurate information. The mass media, healthcare organization, community-based organizations, and other important stakeholders should build strategic partnerships and launch common platforms for disseminating authentic public health messages. Also, advanced technologies like natural language processing or data mining approaches should be applied in the detection and removal of online content with no scientific basis from all social media platforms. Furthermore, these practices should be controlled with regulatory and law enforcement measures alongside ensuring telemedicine-based services providing accurate information on COVID-19.

• Journal of the Korea Society of Computer and Information
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• v.21 no.1
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• pp.139-146
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• 2016

In this paper, we analyze the information asymmetry among investors in online trading environment using rumors which are collected in the Korean stock market for the eleven-year period between January 2004 and December 2014. We find that cumulative abnormal return of sample firms is negative and statistically significant, indicating that a significant fall of the stock price starts before the online disclosure, suggesting that the rumors were reflected in the stock price to a significant extent. Furthermore, individual investors show net purchases on firms prior to disclosure while institutional investors show net sales, showing that individual investors trade unfavorably vis-$\grave{a}$-vis institutional investors. This phenomenon is more evident for the KOSDAQ. This result confirms that the information asymmetry exists between individual and institutional investors in online trading environment.

• Culinary science and hospitality research
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• v.22 no.4
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• pp.192-203
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• 2016

This research was conducted over four weeks from January 1, 2016 until May 30. Data was collected from self-adminstered questionnaires of dwontwon Seoul franchise restaurant customers. The data was subjected to regression analysis to analyze the impact of consumer motives on revisit intentioned. Results show that gourmet is B=0.553 (p<.001), convenient, B=0.093 (p<.05), social B=0.294 (p<.001), and showing off is B=0.085 (p<.01) consumer goods all have a significant positive influence on revisit intention. Second, a significant moderating effect of web based rumores on the relationship between consumer and franchise restaurants motives and re-visit, 0.683, F=116.279 (p<.001). The two-level models add additional explanatory power increase due to a consumer culture is 2.9% and F=26.791 (p<.001) to 'revisit' emerged as significant. Stage 3 in the gastronomic and social wealth is significant to the Web rumors was the influence of (-).

• Management & Information Systems Review
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• v.31 no.4
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• pp.261-286
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• 2012

Rumors are widely prevalent in marketplace and It can be problematic and dangerous for the company's reputation and damages their image. Recently, many companies are given trouble by rumors. As getting invigorates the social media, there is high possibility to shape the vicious rumors without any confirmation whether information is true or not. It affects the companies' reputation and trust they have built for long time, also sales drop off. Despite numerous denials, the rumor persisted, keeping occur again and again all the times. Refutation purposes to decrease levels of belief in a rumor. First, establish Study 1 that a variation in identification influences the impact of a rumor on individuals' beliefs. Furthermore, we analyze the effectiveness of a refutation under varying degree of one's level of identification with the rumor object. According to research result, the response pattern of identification and disidentificaion consumers are very different. Disidentifiers, who engaged in systematic processing, believed the rumor less only when the refutation contained strong arguments. Identifiers, processing heuristically, remained unbelieving in the rumor. Study found that identification is an important moderator of consumer response to negative rumors. These defensive processes alleviate the bad influence of that information, and also can reduce the likelihood of attitude degradation.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.10
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• pp.3211-3229
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• 2022

To solve the problems existing in the process of Weibo disaster rumor recognition, such as lack of corpus, poor text standardization, difficult to learn semantic information, and simple semantic features of disaster rumor text, this paper takes Sina Weibo as the data source, constructs a dataset for Weibo disaster rumor recognition, and proposes a deep learning model BERT_AT_Stacked LSTM for Weibo disaster rumor recognition. First, add adversarial disturbance to the embedding vector of each word to generate adversarial samples to enhance the features of rumor text, and carry out adversarial training to solve the problem that the text features of disaster rumors are relatively single. Second, the BERT part obtains the word-level semantic information of each Weibo text and generates a hidden vector containing sentence-level feature information. Finally, the hidden complex semantic information of poorly-regulated Weibo texts is learned using a Stacked Long Short-Term Memory (Stacked LSTM) structure. The experimental results show that, compared with other comparative models, the model in this paper has more advantages in recognizing disaster rumors on Weibo, with an F1_Socre of 97.48%, and has been tested on an open general domain dataset, with an F1_Score of 94.59%, indicating that the model has better generalization.