Reinforcing attitudes in a gatewatching news era: individual-level antecedents to sharing fact-checks on social media

Despite the prevalence of fact-checking, little is known about who posts fact-checks online. Based upon a content analysis of Facebook and Twitter digital trace data and a linked online survey (N = 783), this study reveals that sharing fact-checks in political conversations on social media is linked to age, ideology, and political behaviors. Moreover, an individual’s need for orientation (NFO) is an even stronger predictor of sharing a fact-check than ideological intensity or relevance, alone, and also influences the type of fact-check format (with or without a rating scale) that is shared. Finally, participants generally shared fact-checks to reinforce their existing attitudes. Consequently, concerns over the effects of fact-checking should move beyond a limited-effects approach (e.g., changing attitudes) to also include reinforcing accurate beliefs.Accepted manuscrip

Agendamelding and COVID-19: the dance of horizontal and vertical media in a pandemic

How are attitudes formed in the 21st Century, and who sets the agenda for initial COVID-19 coverage in the United States? We explore these questions using a random sample of 6 million tweets from a population of 224 million tweets collected between January 2020 and June 2020. In conjunction with a content analysis of legacy media such as newspapers, we examine the second-level agendamelding process during the onset of the COVID-19 pandemic in the United States. The findings demonstrate that in the early weeks of the pandemic, public opinion on Twitter about the virus was distinctly different than the coverage of the issue in the traditional media. The attributes used to describe it on social media demonstrate users relying on their past experiences and personal beliefs to talk about the virus. In the 1st week of February, public opinion, traditional media, and social media converged, but traditional media soon becomes the main agenda setter of COVID-19 for 13 weeks. However, for the final 5 weeks of our sample, traditional media are taken over by social media. The findings also show that, except for a few weeks at the onset of the outbreak, Twitter users relied on their personal experiences far less than what statistical models predicted and allowed. Instead, traditional media and social media to shape their opinion of the issue

Correlating Self-Report and Trace Data Measures of Incivility: A Proof of Concept

This study correlated self-report and trace data measures of political incivility. Specifically, we asked respondents to provide estimates of the degree to which they engage in uncivil political communication online. These estimates were then compared to computational measures of uncivil social media discussion behavior. The results indicated that those who self-disclose uncivil online behavior also tend to generate content on social media that is uncivil as identified by Google's Perspective application programming interface. Taken as a whole, this work suggests that combining self-report and behavioral trace data may be a fruitful means of developing multimethod measures of complex communication behaviors

Sharing native advertising on Twitter: content analyses examining disclosure practices and their inoculating influence

Based upon a large data set of tweets linking to native advertising in leading U.S. news publications, this study provides a content analysis of the practice of native advertising disclosure in the field and explores whether disclosures serve the inoculating function of resistance to persuasion. Leveraging the Persuasion Knowledge Model (Friestad & Wright, 1994) and inoculation theory (McGuire, 1964), results show a) regular use of disclosures on publisher landing pages, b) the absence of disclosures in over half of publisher thumbnail images, and c) the presence of disclosures corresponded to an increased likelihood of negatively-valenced posts.Accepted manuscrip

Leptospirosis in American Samoa – Estimating and Mapping Risk Using Environmental Data

Leptospirosis is the most common bacterial infection transmitted from animals to humans. Infected animals excrete the bacteria in their urine, and humans can become infected through contact with animals or a contaminated environment such as water and soil. Environmental factors are important in determining the risk of human infection, and differ between ecological settings. The wide range of risk factors include high rainfall and flooding; poor sanitation and hygiene; urbanisation and overcrowding; contact with animals (including rodents, livestock, pets, and wildlife); outdoor recreation and ecotourism; and environmental degradation. Predictive risk maps have been produced for many infectious diseases to identify high-risk areas for transmission and guide allocation of public health resources. Maps are particularly useful where disease surveillance and epidemiological data are poor. The objectives of this study were to estimate leptospirosis seroprevalence at geographic locations based on environmental factors, produce a predictive disease risk map for American Samoa, and assess the accuracy of the maps in predicting infection risk. This study demonstrated the value of geographic information systems and disease mapping for identifying environmental risk factors for leptospirosis, and enhancing our understanding of disease transmission. Similar principles could be used to investigate the epidemiology of leptospirosis in other areas

Finishing the euchromatic sequence of the human genome

The sequence of the human genome encodes the genetic instructions for human physiology, as well as rich information about human evolution. In 2001, the International Human Genome Sequencing Consortium reported a draft sequence of the euchromatic portion of the human genome. Since then, the international collaboration has worked to convert this draft into a genome sequence with high accuracy and nearly complete coverage. Here, we report the result of this finishing process. The current genome sequence (Build 35) contains 2.85 billion nucleotides interrupted by only 341 gaps. It covers ∼99% of the euchromatic genome and is accurate to an error rate of ∼1 event per 100,000 bases. Many of the remaining euchromatic gaps are associated with segmental duplications and will require focused work with new methods. The near-complete sequence, the first for a vertebrate, greatly improves the precision of biological analyses of the human genome including studies of gene number, birth and death. Notably, the human enome seems to encode only 20,000-25,000 protein-coding genes. The genome sequence reported here should serve as a firm foundation for biomedical research in the decades ahead

The agenda-setting power of fake news: A big data analysis of the online media landscape from 2014 to 2016

The definitive publisher-authenticated version: "Chris J Vargo, Lei Guo, Michelle A Amazeen. 2017. "The agenda-setting power of fake news: A big data analysis of the online media landscape from 2014 to 2016." New Media & Society, Vol 20, Issue 5, pp. 2028 - 2049" is available online at: https://doi.org/10.1177/1461444817712086.This study examines the agenda-setting power of fake news and fact-checkers who fight them through a computational look at the online mediascape from 2014 to 2016. Although our study confirms that content from fake news websites is increasing, these sites do not exert excessive power. Instead, fake news has an intricately entwined relationship with online partisan media, both responding and setting its issue agenda. In 2016, partisan media appeared to be especially susceptible to the agendas of fake news, perhaps due to the election. Emerging news media are also responsive to the agendas of fake news, but to a lesser degree. Fake news coverage itself is diverging and becoming more autonomous topically. While fact-checkers are autonomous in their selection of issues to cover, they were not influential in determining the agenda of news media overall, and their influence appears to be declining, illustrating the difficulties fact-checkers face in disseminating their corrections

Sources of Customer Role Learning During Self-Service Technology Encounters

The advance of self-service technologies (SSTs) in the tourism industry has highlighted the role of the customer as co-producer during service encounters. Customer usage of SSTs requires that they have acquired the needed skills and knowledge towards operating the SST efficiently. Despite the recognition of the importance of customer role clarity and ability for successful SST encounters, there is a dearth of knowledge into the process of customer SST role learning. Therefore, this research contributes to knowledge by exploring the sources of customer SST role learning and how customers learn from them. The employed research method is short interviews with airline passengers at an international airport. The results identify six sources of customer learning, namely the SST interface, other customers, company employees, mass media and service environment, negative service outcomes and the customer\u27s workplace