Researching trust in Wikipedia

As the use of collaborative online encyclopedias such as Wikipedia grows, so does the need for research on how users evaluate its credibility. In this paper we compare three experimental approaches to study trust in Wikipedia, namely think aloud, eye-tracking, and online questionnaires. The advantages and disadvantages of each method are discussed. We conclude that it is best to use multiple methods when researching information trust, as each single one of the discussed methods alone does not give all possible information

Seeing is believing: How people fail to identify fake images on the web

The growing ease with which digital images can be convincingly manipulated and widely distributed on the Internet makes viewers increasingly susceptible to visual misinformation and deception. In situations where ill-intentioned individuals seek to deliberately mislead and influence viewers through fake online images, the harmful consequences could be substantial. We describe an exploratory study of how individuals react, respond to, and evaluate the authenticity of images that accompany online stories in Internet-enabled communications channels. Our preliminary findings support the assertion that people perform poorly at detecting skillful image manipulation, and that they often fail to question the authenticity of images even when primed regarding image forgery through discussion. We found that viewers make credibility evaluation based mainly on non-image cues rather than the content depicted. Moreover, our study revealed that in cases where context leads to suspicion, viewers apply post-hoc analysis to support their suspicions regarding the authenticity of the image

Users' trust in information resources in the Web environment: a status report

This study has three aims; to provide an overview of the ways in which trust is either assessed or asserted in relation to the use and provision of resources in the Web environment for research and learning; to assess what solutions might be worth further investigation and whether establishing ways to assert trust in academic information resources could assist the development of information literacy; to help increase understanding of how perceptions of trust influence the behaviour of information users

Investigating the Effects of Instagram Filters on Perceived Trust in Online News Posts

The increasing overgrowth of information is only getting harder to navigate through and the spread of fake news and misinformation is concerning. With the shift towards digital deliv- ery of news and concerns about the accuracy and reliability of information shared on social media, it is important to understand the factors that contribute to trust in social media news. Motivated by these challenges, this study aimed to investigate what effect Instagram filters have on users’ perceived trust in online news posts. Trust ratings of four different articles with four different image filters, including the original image, were collected through an on- line user study. Also, the role of general trust and familiarity with the topic and the context of the different topics were explored. We did an online experiment with 204 participants recruited from a crowdsourcing platform. Participants were asked to answer six questions per online news post shown. Our analysis revealed that while Instagram filters overall may not affect perceived trust, specific visual characteristics of the filters such as brightness and contrast may play a role. Additionally, individual differences in general trust and attitude to- wards the topic may influence the users’ perception of trust. The study also found that there may be differences in perceived trust across different news topics. Thus, there could be other factors influencing the users’ participants of trust.Masteroppgave i informasjonsvitenskapINFO390MASV-INF

Factual accuracy and trust in information: the role of expertise

In the past few decades, the task of judging the credibility of information has shifted from trained professionals (e.g., editors) to end users of information (e.g., casual Internet users). Lacking training in this task, it is highly relevant to research the behavior of these end users. In this article, we propose a new model of trust in information, in which trust judgments are dependent on three user characteristics: source experience, domain expertise, and information skills. Applying any of these three characteristics leads to different features of the information being used in trust judgments; namely source, semantic, and surface features (hence, the name 3S-model). An online experiment was performed to validate the 3S-model. In this experiment, Wikipedia articles of varying accuracy (semantic feature) were presented to Internet users. Trust judgments of domain experts on these articles were largely influenced by accuracy whereas trust judgments of novices remained mostly unchanged. Moreover, despite the influence of accuracy, the percentage of trusting participants, both experts and novices, was high in all conditions. Along with the rationales provided for such trust judgments, the outcome of the experiment largely supports the 3S-model, which can serve as a framework for future research on trust in information

The Role of Corporate Image and Extension Similarity in Service Brand Extensions

In this article we examine the role of corporate image in extending service brands to new and traditional markets in the telecommunications sector. With regards to corporate image, service brand extensions are primarily associated with innovation-related attributes, such as order of entry (i.e., pioneers versus followers). Increasingly, firms are extending their services to markets that are beyond the markets that they traditionally have been active in. The results of an experimental study show that consumers evaluate service extensions by providers with an innovative late mover image more favourably that service extensions by companies with a pioneer image in terms of perceived corporate credibility and expected service quality. With regards to these evaluation criteria, it was also found that consumers prefer service brand extensions to related rather than unrelated markets. In addition we find that the relative distance between service providers with an innovative late mover image and pioneers is larger in related markets.marketing ;

Categorizing Young Facebook Users Based On Their Differential Preference of Social Media Heuristics: A Q-Methodology Approach

Background: Social media have become an integral part of our modern society by providing platforms for users to create and exchange news, ideas, and information. The increasing use of social media has raised concerns about the reliability of the shared information, particularly information that is generated from anonymous users. Though prior studies have confirmed the important roles of heuristics and cues in the users’ evaluation of trustworthy information, there has been no research–to our knowledge–that categorized Facebook users based on their approaches to evaluating information credibility. Method: We employed Q-methodology to extract insights from 55 young Vietnamese users and to categorize them into different groups based on the distinct sets of heuristics that they used to evaluate the trustworthiness of online information on Facebook. Results: We identified four distinct types of young Facebook user groups that emerged based on their evaluation of online information trustworthiness. When evaluating online information trustworthiness on Facebook, these user groups assigned priorities differently to the characteristics of the online content, its original source, and the sharers or aggregators. We named these groups: (1) the balanced analyst, (2) the critical analyst, (3) the source analyst, and (4) the social network analyst. Conclusion: The findings offer insights that contribute to information processing literature. Moreover, marketing practitioners who aim to disseminate information effectively on social networks should take these user groups’ perspectives into consideration

Scientific Knowledge Communication in Online Q&A Communities: Linguistic Devices as a Tool to Increase the Popularity and Perceived Professionalism of Knowledge Contribution

With the popularity of question-and-answer (Q&A) communities, widespread dissemination of scientific knowledge has become more viable than ever before. However, those contributing high-quality professional scientific knowledge are confronted with the challenge of making their contributions popular, since non expert readers may not recognize the importance of their contributions given the massive amount of information available online. In this study, we show that non expert readers are capable of evaluating the professionalism of content contributed in such communities as well as experts. However, we discovered that a salient discrepancy exists between the content non experts favor and the content they perceive as professional. In line with studies that have suggested that writing techniques play an important role in how expert content is received by lay persons, we investigated how the use of linguistic devices affects both the perceived professionalism and the popularity of contributions in Q&A communities. Based on both secondary data and a scenario-based survey, we identified specific linguistic devices that can increase content popularity without reducing perceived professionalism. Additionally, we revealed linguistic devices that increase popularity at the expense of perceived professionalism in this context. Finally, we conducted a laboratory experiment to more firmly establish the causal effects of the linguistic device use. The triangulated findings have important implications for both research and practice on communicating scientific knowledge in Q&A communitie

Human-wildlife interactions and Instagram credibility

Includes bibliographical references.2022 Fall.Wildlife selfies are becoming a more common occurrence on social media platforms today. However, approaching wildlife with the intent to use them as a photo prop can be detrimental to both the humans and the wildlife involved. By utilizing source credibility and familiarity, this study works to identify an effective method that dissuades individuals from taking wildlife selfies and posting them on Instagram, mainly by analyzing the self-reported behavioral beliefs and intentions of participants. This study varied source credibility on three levels in terms of trust and authority while also varying how familiar different wildlife species are to Colorado university students. Results determined comment author source credibility and wildlife species familiarity did not significantly affect the behavioral intent or beliefs of respondents when it comes to wildlife selfies. However, the interaction between comment source credibility and wildlife species familiarity did significantly affect the behavioral intentions and beliefs of respondents. The mixed findings of this study as thus able to contribute to and expand upon existing literature, while also providing evidence of a need for more research in this area in order to better understand social media credibility and best practices for advocating for individuals keeping their distance from wildlife, especially when it comes to posting these close encounters online