2,045 research outputs found

    Tweet, but Verify: Epistemic Study of Information Verification on Twitter

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    While Twitter provides an unprecedented opportunity to learn about breaking news and current events as they happen, it often produces skepticism among users as not all the information is accurate but also hoaxes are sometimes spread. While avoiding the diffusion of hoaxes is a major concern during fast-paced events such as natural disasters, the study of how users trust and verify information from tweets in these contexts has received little attention so far. We survey users on credibility perceptions regarding witness pictures posted on Twitter related to Hurricane Sandy. By examining credibility perceptions on features suggested for information verification in the field of Epistemology, we evaluate their accuracy in determining whether pictures were real or fake compared to professional evaluations performed by experts. Our study unveils insight about tweet presentation, as well as features that users should look at when assessing the veracity of tweets in the context of fast-paced events. Some of our main findings include that while author details not readily available on Twitter feeds should be emphasized in order to facilitate verification of tweets, showing multiple tweets corroborating a fact misleads users to trusting what actually is a hoax. We contrast some of the behavioral patterns found on tweets with literature in Psychology research.Comment: Pre-print of paper accepted to Social Network Analysis and Mining (Springer

    Information Verification in the Age of Digital Journalism

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    Social media and technologies such as crowdsourcing now play a pivotal role in how broadcast media connects and engages with their audiences. Conversely, in the midst of technological change, traditional values remain. The findings of this study suggest that journalists’ are using social media for news gathering, but continue to place an emphasis on trusted sources and pre-existing relationships. Verification processes can often be circular, and some verification rests in knowledge derived from reporter’s earlier work. Use of authoritative sources, reliability, accuracy, and credibility appear to be prime concerns of the journalists’ who were interviewed as part of this pilot research study

    PoxVerifi: An Information Verification System to Combat Monkeypox Misinformation

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    Following recent outbreaks, monkeypox-related misinformation continues to rapidly spread online. This negatively impacts response strategies and disproportionately harms LGBTQ+ communities in the short-term, and ultimately undermines the overall effectiveness of public health responses. In an attempt to combat monkeypox-related misinformation, we present PoxVerifi, an open-source, extensible tool that provides a comprehensive approach to assessing the accuracy of monkeypox related claims. Leveraging information from existing fact checking sources and published World Health Organization (WHO) information, we created an open-sourced corpus of 225 rated monkeypox claims. Additionally, we trained an open-sourced BERT-based machine learning model for specifically classifying monkeypox information, which achieved 96% cross-validation accuracy. PoxVerifi is a Google Chrome browser extension designed to empower users to navigate through monkeypox-related misinformation. Specifically, PoxVerifi provides users with a comprehensive toolkit to assess the veracity of headlines on any webpage across the Internet without having to visit an external site. Users can view an automated accuracy review from our trained machine learning model, a user-generated accuracy review based on community-member votes, and have the ability to see similar, vetted, claims. Besides PoxVerifi's comprehensive approach to claim-testing, our platform provides an efficient and accessible method to crowdsource accuracy ratings on monkeypox related-claims, which can be aggregated to create new labeled misinformation datasets.Comment: 11 pages, 5 figure

    Modern Safeguards Tools for Efficient and Effective Design Information Verification

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    Design Information Verification (DIV) is becoming increasingly important in International Safeguards as a way of verifying that facility set-up is consistent with the declared design and activities. This is particularly true for the complex environments of new nuclear installations. Member States Support Programmes (MSSPs) enabled the IAEA to develop and obtain a set of advanced tools designed to improve the efficiency and the effectiveness of DIV activities. This paper provides a comprehensive overview of these advanced tools based on laser, radar, X-ray fluorescence and infrared imaging technologies and their potential for being applied to containment- and other verification activities.JRC.E.9-Nuclear security (Ispra

    Race, Shelby County, and the Voter Information Verification Act in North Carolina

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    Shortly after the Supreme Court in Shelby County v. Holder struck down section 4(b) of the Voting Rights Act (VRA), the State of North Carolina enacted an omnibus piece of election- reform legislation known as the Voter Information Verification Act (VIVA). Prior to Shelby, portions of North Carolina were covered jurisdictions per the VRA’s sections 4 and 5—meaning that they had to seek federal preclearance for changes to their election procedures— and this motivates our assessment of whether VIVA’s many alterations to North Carolina’s election procedures are race-neutral. We show that in presidential elections in North Carolina black early voters have cast their ballots disproportionately in the first week of early voting, which was eliminated by VIVA; that blacks disproportionately have registered to vote during early voting and in the immediate run-up to Election Day, something VIVA now prohibits; that registered voters in the state who lack two VIVA-acceptable forms of voter identification, driver’s licenses and non-operator identification cards, are disproportionately black; that VIVA’s identification dispensation for voters at least seventy years old disproportionately benefits white registered voters; and, that preregistered sixteen and seventeen year old voters in North Carolina, a category of registrants that VIVA prohibits, are disproportionately black. These results illustrate how VIVA will have a disparate effect on black voters in North Carolina

    Service validity and service reliability of search, experience and credence services: A scenario study

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    The purpose of this research is to add to our understanding of the antecedents of customer satisfaction by examining the effects of service reliability (Is the service “correctly” produced?) and service validity (Is the “correct” service produced?) of search, experience and credence services.\ud Design/methodology/approach – Service validity and service reliability were manipulated in scenarios describing service encounters with different types of services. Customer satisfaction was measured using questionnaires.\ud Findings – Service validity and service reliability independently affect customer satisfaction with search services. For experience services, service validity and service reliability are necessary conditions for customer satisfaction. For credence services, no effects of service validity were found but the effects of service reliability on customers' satisfaction were profound.\ud Research limitations/implications – Scenarios provided a useful method to investigate customer evaluation of different types of service situations. A limitation of this method was that the participants were not observed in a real service situation but had to give their opinion on hypothetical scenarios.\ud Practical implications – For search and credence services, it is possible to compensate low service validity by providing a highly reliable service. However, managers of experience services should be aware that little can be gained when either service validity or service reliability is faulty.\ud Originality/value – The present study provides empirical data on the effects of service reliability and the thus far neglected effects of service validity and integrates these (new) concepts in the model of information verification