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Can, Fazlı; Kocberber, Seyit; Balcik, Erman; Kaynak, Cihan; Ocalan, H. Cagdas; Vursavas, Onur M.

doi:10.1002/asi.v59:3

Cited by 65 publications

(3 citation statements)

References 437 publications

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“…A stemming tool 5 is applied to reduce the number of features. We also remove the Turkish stop words (Can et al, 2008) and do lowercasing and noise removal. Here, noise is defined as character sets (for a search query) such as emoticons and punctuation and is removed with simple filtering.…”

Section: Preprocessingmentioning

confidence: 99%

Improving educational web search for question-like queries through subject classification

Yilmaz

Ozcan²,

Altıngövde

et al. 2019

Information Processing & Management

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Section: Preprocessingmentioning

confidence: 99%

Improving educational web search for question-like queries through subject classification

Yilmaz

Ozcan²,

Altıngövde

et al. 2019

Information Processing & Management

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“…Although various phenomena related to trust are mirrored in diverse research fields—leading also to many definitions of trust [18-21]—we consider the common principles of trust when examining the relationship between information seekers and providers. As such, relationships between information seekers (trustors) and providers (trustees or trust objects) [22-25] entail an actual or perceived imbalance in each party’s extent of knowledge. In turn, trusting the information provider requires that the information seeker willingly accepts that he or she can never really know if the information is adequate or whether the provider indeed has more knowledge (uncertainty of trustors [21-23,25,26]).…”

Section: Introductionmentioning

confidence: 99%

“…So far, the research on seekers’ evaluation of Web-based information has shown that several factors, such as the information source, the content of the information, and the type of media, are important when people evaluate the credibility of Web-based information in general [28-32]. Regarding health information specifically, the kind of criteria that people use to judge the credibility of Web-based health information is often related to the characteristics of the Web-based information and the provider of the Web-based information [16,22]. Although people’s judgments of a provider’s trustworthiness correspond to judgments about the credibility of information and vice versa [33], single factors, such as the provider’s language and the content of information, seem to influence information seekers’ evaluations of the information and the provider in different ways [34,35].…”

Section: Introductionmentioning

confidence: 99%

Investigating the Role of Communication for Information Seekers’ Trust-Related Evaluations of Health Videos on the Web: Content Analysis, Survey Data, and Experiment

Zimmermann

Jucks

2018

Interact J Med Res

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BackgroundAccording to the language expectancy theory and the communication accommodation theory, health information seekers’ trust evaluations of Web-based videos are determined by interplays between content and seekers’ expectations on vloggers’ appropriate language use in specific contexts of Web-based communication.ObjectivesTwo investigations focused on differences both between vloggers’ language styles and between users’ general trust in specific Web-based platforms to investigate how the context of Web-based communication can be characterized (research question, RQ1). Thereafter, we investigated whether information uncertainty, vloggers’ language style, and context of Web-based communication affect seekers’ trust evaluations of videos (RQ2).MethodsWith a content analysis of 36 health videos from YouTube and Vimeo, we examined the extent of trust-related linguistic characteristics (ie, first-person and second-person pronouns). Additionally, we surveyed participants (n=151) on their trust in YouTube and Moodle (academic Web-based platform; RQ1). In an experiment, further participants (n=124) watched a video about nutrition myths and were asked to evaluate the information credibility, vloggers’ trustworthiness, and accommodation of language by vloggers (RQ2). Following a 3 × 2 × 2 mixed design, vloggers’ explanations contained unambiguous (confirming or disconfirming) or ambiguous (neither confirming nor disconfirming) evidence on the myths (within factor). Furthermore, vloggers used YouTube-typical language (many first-person pronouns) or formal language (no first-person pronouns), and videos were presented on YouTube or Moodle (between factors).ResultsThe content analysis revealed that videos on YouTube contained more first-person pronouns than on Vimeo (F1,35=4.64; P=.04; ηp2=0.12), but no more second-person pronouns (F1,35=1.23; P=.23). Furthermore, when asked about their trust in YouTube or Moodle, participants trusted YouTube more than Moodle (t150≤−9.63; all P ≤.001). In the experiment, participants evaluated information to be more credible when information contained unambiguous rather than ambiguous evidence (F2,116=9.109; P<.001; ηp2=0.14). Unexpectedly, information credibility did not depend on vloggers’ language style or the video platform (F1,117≤2.40; P ≥.06). Likewise, video’s platform did not affect participants’ evaluations of vloggers’trustworthiness (F1,117<0.18; P>.34). However, participants judged vloggers who used a YouTube-typical language as being more benevolent, and their language use as being more appropriate in both video platforms (F1,117≥3.41; P ≤.03; ηp2≥0.028). Moreover, participants rated the YouTube-typical (vs formal) language as more appropriate for Moodle, but they did not rate one or the other language style as more appropriate for YouTube (F1,117=5.40; P=.01; ηp2=0.04).ConclusionsThis study shows that among specific Web-based contexts, users’ typical language use can differ, as can their trust-related evaluations. In addition, health information seekers seem to be affected...

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Fattah

Ren

2008

J. Am. Soc. Inf. Sci.

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Cited by 65 publications

References 437 publications

Improving educational web search for question-like queries through subject classification

Improving educational web search for question-like queries through subject classification

Investigating the Role of Communication for Information Seekers’ Trust-Related Evaluations of Health Videos on the Web: Content Analysis, Survey Data, and Experiment

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