Social networks are widely used as a fast and ubiquitous information-sharing medium. The mass spread of food rumours has seriously invaded public's healthy life and impacted food production. It can ...be argued that the government, companies, and the media have the responsibility to send true anti-rumour messages to reduce panic, and the risks involved in different forms of communication to the public have not been properly assessed. The manuscript develops an empirical analysis model from 683 food anti-rumour cases and 7,967 data of the users with top comments to test the influence of the strength of rumour/anti-rumour on rumour control. Furthermore, dividing the users into three categories, Leaders, Chatters, and General Public, and study the influence of human characteristics on the relationship between the strength of rumour/anti-rumour and rumour control by considering the different human characteristics as moderator variables. The results showed that anti-rumours have a significant positive impact on the control of rumours; the ambiguity of rumours has a significant negative impact on the Positive Comment Index (PCI) in rumour control. Further, the Leaders increased the overall level of PCI, but negatively adjusted the relationship between evidence and PCI; the Chatters and the General Public reduced the overall level of PCI, and Chatters weakened the relationship between the specific type of anti-rumour form and PCI while the General Public enhanced the relationship between the specific type of anti-rumour form and PCI. In the long run, the role of Leaders needs to be further improved, and the importance of the General Public is growing in the food rumour control process.
Narrative Landmines Bernardi, Daniel Leonard
2012, 20120312, 2012-03-30, 20120101
eBook
Islamic extremism is the dominant security concern of many contemporary governments, spanning the industrialized West to the developing world.Narrative Landminesexplores how rumors fit into and ...extend narrative systems and ideologies, particularly in the context of terrorism, counter-terrorism, and extremist insurgencies. Its concern is to foster a more sophisticated understanding of how oral and digital cultures work alongside economic, diplomatic, and cultural factors that influence the struggles between states and non-state actors in the proverbial battle of hearts and minds. Beyond face-to-face communication, the authors also address the role of new and social media in the creation and spread of rumors.
As narrative forms, rumors are suitable to a wide range of political expression, from citizens, insurgents, and governments alike, and in places as distinct as Singapore, Iraq, and Indonesia-the case studies presented for analysis. The authors make a compelling argument for understanding rumors in these contexts as "narrative IEDs," low-cost, low-tech weapons that can successfully counter such elaborate and expansive government initiatives as outreach campaigns or strategic communication efforts. While not exactly the same as the advanced technological systems or Improvised Explosive Devices to which they are metaphorically related, narrative IEDs nevertheless operate as weapons that can aid the extremist cause.
•A thorough review of techniques, algorithms, datasets, and tasks for fake news detection.•An overview of text processing deep learning architectures for handling fake news detection as a text ...classification task.•A novel, hybrid CNN-RNN model for the task.•An extensive evaluation on benchmark datasets with very positive results.
The explosion of social media allowed individuals to spread information without cost, with little investigation and fewer filters than before. This amplified the old problem of fake news, which became a major concern nowadays due to the negative impact it brings to the communities. In order to tackle the rise and spreading of fake news, automatic detection techniques have been researched building on artificial intelligence and machine learning. The recent achievements of deep learning techniques in complex natural language processing tasks, make them a promising solution for fake news detection too. This work proposes a novel hybrid deep learning model that combines convolutional and recurrent neural networks for fake news classification. The model was successfully validated on two fake news datasets (ISO and FA-KES), achieving detection results that are significantly better than other non-hybrid baseline methods. Further experiments on the generalization of the proposed model across different datasets, had promising results.
False or unverified information spreads just like accurate information on the web, thus possibly going viral and influencing the public opinion and its decisions. Fake news and rumours represent the ...most popular forms of false and unverified information, respectively, and should be detected as soon as possible for avoiding their dramatic effects. The interest in effective detection techniques has been therefore growing very fast in the last years. In this paper we survey the different approaches to automatic detection of fake news and rumours proposed in the recent literature. In particular, we focus on five main aspects. First, we report and discuss the various definitions of fake news and rumours that have been considered in the literature. Second, we highlight how the collection of relevant data for performing fake news and rumours detection is problematic and we present the various approaches, which have been adopted to gather these data, as well as the publicly available datasets. Third, we describe the features that have been considered in fake news and rumour detection approaches. Fourth, we provide a comprehensive analysis on the various techniques used to perform rumour and fake news detection. Finally, we identify and discuss future directions.
Focussing in detail on one key component of the infodemic surrounding COVID-19, this article traces the dissemination dynamics of rumours that the pandemic outbreak was somehow related to the rollout ...of 5G mobile telephony technology in Wuhan and around the world. Drawing on a mixture of quantitative and qualitative methods including time-series analysis, network analysis and in-depth close reading, our analysis shows the dissemination of the rumour on Facebook from its obscure origins in pre-existing conspiracist groups through greater uptake in more diverse communities to substantial amplification by celebrities, sports stars and media outlets. The indepth tracing of COVID-related mis- and disinformation across social networks offers important new insights into the dynamics of online information dissemination and points to opportunities to slow and stop the spread of false information, or at least to combat it more directly with accurate counterinformation.
For social scientists, the widespread adoption of social media presents both an opportunity and a challenge. Data that can shed light on people's habits, opinions and behaviour is available now on a ...scale never seen before, but this also means that it is impossible to analyse using conventional methodologies and tools. This article represents an experiment in applying a computationally assisted methodology to the analysis of a large corpus of tweets sent during the August 2011 riots in England.
In conflict situations, rapid changes can occur in the conditions in both host and home countries. In the context of such uncertainty, how do refugees navigate the bureaucratic apparatus of the ...United Nations High Commissioner for Refugees (UNHCR) to obtain humanitarian aid and resettlement? We carried out fieldwork in 2019 in Lebanon and found the UNHCR's bureaucracy to be a 'black box' for refugees in relation to the provision of information on humanitarian aid and resettlement. In this context of limited information, we found that rumours - widely considered to be uncertain truths - contributed to shaping participants' understanding of the UNHCR's decisions on the provision of aid and resettlement. In this article, we highlight the interpretive aspect of rumours and argue that refugees engage in interpretive labour as a result of the unequal relationship between themselves and the UNHCR's opaque bureaucracy and provision of information. While refugees have to provide the UNHCR with detailed and highly personal information in interviews and household inspections, officers provide refugees with only generic responses, leading refugees to make their own interpretations of the bureaucratic decision-making processes. We conceptualise this interpretive labour as a collective process that contributes to generating rumours among refugee groups.
Individual informed consent is a key ethical obligation for clinical studies, but empirical studies show that key requirements are often not met. Common recommendations to strengthen consent in low ...income settings include seeking permission from community members through existing structures before approaching individuals, considering informed consent as a process rather than a single event, and assessing participant understanding using questionnaires. In this paper, we report on a qualitative study exploring community understanding and perceptions of a malaria vaccine trial (MVT) conducted in a rural setting on the Kenyan Coast. The MVT incorporated all of the above recommendations into its information-giving processes. The findings support the importance of community level information-giving and of giving information on several different occasions before seeking final individual consent. However, an emerging issue was that inter-personal interactions and relationships between researchers and community members, and within the community, play a critical role in participants' perceptions of a study, their decisions to consent or withdraw, and their advice to researchers on study practicalities and information to feedback at the end of the trial. These relationships are based on and continually tested by information-giving processes, and by context specific concerns and interests that can be difficult to predict and are well beyond the timescale and reach of single research activities. On the basis of these findings, we suggest that the current move towards increasingly ambitious and stringent formal standards for information-giving to individuals be counter-balanced with greater attention to the diverse social relationships that are essential to the successful application of these procedures. This may be assisted by emphasising respecting communities as well as persons, and by recognising that current guidelines and regulations may be an inadequate response to the complex, often unpredictable and ever shifting ethical dilemmas facing research teams working ‘in the field’.
Public health programmes have done enormous good in Africa and elsewhere in the global south, but have also been met with skepticism. This skepticism often takes the form of rumours about the motives ...or the results of the public health intervention. One recurrent theme in such rumours is the centrality of reproductive bodies (both male and female), and the perception that these bodies are being rendered sterile by toxic compounds given under the guise of improving health. Public health operations research has identified these rumours as significant obstacles to programme delivery, but they have been treated primarily as failures in communication, to be rectified by the provision of more accurate information. Using reports of such rumours from public health interventions in Africa, with emphasis on vaccines, I argue that these rumours are more than simply stories which are not true. The widespread rumour of sterility is a way of articulating broadly shared understandings about reproductive bodies, collective survival, and global asymmetries of power. I use Foucault's notion of biopolitics to theorize international public health programmes, and introduce the concept of counter-epistemic convergence to account for the ubiquity and persistence of sterility rumours.
Abusive supervision has been shown to have significant negative consequences for employees' wellbeing, attitudes, and behavior. However, despite the devastating impact, it might well be that ...employees do not always react negatively toward a leader's abusive behavior. In the present study, we show that employees' organizational identification and abusive supervision interact for employees' perceived cohesion with their work group and their tendency to gossip about their leader. Employees confronted with a highly abusive supervisor had a stronger perceived cohesion and engaged in less gossiping behavior when they identified more strongly with their organization. Our findings illustrate that organizational identification functions as a buffer for those confronted with an abusive supervisor.
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