Evaluating the Credibility of Online Information: A Test of Source and Advertising Influence

Greer, Jennifer

doi:10.1207/s15327825mcs0601_3

Cited by 139 publications

(96 citation statements)

References 15 publications

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“…If so, these cues may also carry over to judgments about message credibility, if readers do not attend carefully to content features in forming such judgments. On the other hand, some individuals appear to distinguish between message and source credibility (J. D. Greer, 2003;Kiousis, 2006). Kiousis measured message and source credibility of online news separately and found that the use of a Web site's multimedia features had a significant, positive influence on the perceived credibility of the source, but not the message.…”

Section: Credibility Assessmentsmentioning

confidence: 99%

A Little Bird Told Me, So I Didn't Believe It: Twitter, Credibility, and Issue Perceptions

Schmierbach¹,

Oeldorf-Hirsch

2012

Communication Quarterly

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Section: Credibility Assessmentsmentioning

confidence: 99%

A Little Bird Told Me, So I Didn't Believe It: Twitter, Credibility, and Issue Perceptions

Schmierbach¹,

Oeldorf-Hirsch

2012

Communication Quarterly

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“…Moreover, credibility is lowered for sources perceived as offering biased content or for offering content for an ulterior motive other than informative (Haas 1 81). Compared to nascent digital9 only news organizations, legacy publishers have built up brand reputations over the years often providing their journalism a great deal of credibility and authority (Greer 2003). Indeed, the same article published by a high credibility source was evaluated more favorably than when published by a low credibility source (Go Jung and Wu 2014).…”

mentioning

confidence: 99%

Saving Media or Trading on Trust?

Amazeen

Muddiman

2017

Digital Journalism

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Ext e n d in g re s e a rch fro m Wo jd yn s ki a n d Eva n s ( 2 0 1 6 ) , t h is e xp e rim e n t a l s t u d y re p lica t e s t h e ch a lle n g e s o f e ffe ct ive ly d is clo s in g n a t ive a d ve rt is in g t o re a d e rs a n d d e m o n s t ra t e s a p ro m is in g in o cu la t io n m e t h o d t h a t in cre a s e s like lih o o d o f re co g n it io n . Mo re o ve r, t h is q u a n t it a t ive re s e a rch in d ica t e s t h a t b o t h le g a cy a n d o n lin e n e ws p u b lis h e rs w e re e va lu a t e d le s s fa vo ra b ly fo r d is p la yin g n a t ive a d ve rt is in g . At t it u d e s t o wa rd t h e p u b lis h e r a n d p e rce p t io n s o f it s cre d ib ilit y d e clin e d fo r b o t h , a lt h o u g h o n lin e p u b lis h e rs s u ffe re d g re a t e r a t t it u d in a l d a m a g e t h a n d id le g a cy p u b lis h e rs wh o m a y b e n e fit fro m t h e ir e s t a b lis h e d re p u t a t io n . Extending research from Wojdynski and Evans, this experimental study replicates the challenges of effectively disclosing native advertising to readers and demonstrates a promising inoculation method that increases likelihood of recognition. Moreover, this quantitative research indicates that both legacy and online news publishers were evaluated less favorably for displaying native advertising. Attitudes toward the publisher and perceptions of its credibility declined for both, although online publishers suffered greater attitudinal damage than did legacy publishers who may benefit from their established reputation. URLKEYWORDS framing; journalism; media effects; native advertising; persuasion; source credibility Intr oductionAs advertising and subscriber revenues continue to plummet (Cillizza 2015; McChesney and Pickard 2011), legacy publishers are looking for ways to fund the costs of producing the content in their publications. With the technological revolution of digital media, a controversial practice is drawing increasing attention: the notion of "native advertising." Native advertising refers to the practice of creating ads that mimic, or appear "native" to, the platform on which they appear. These messages adopt the same format, font and tone as a traditional piece of journalism or user9generated post, often looking nearly identical to the content created by the platform publisher (Austin and Newman 2015;Conill 2016;Einstein 2016;Sonderman and Tran, 2013). The Interactive Advertising Bureau (IAB) defines native advertising as "paid ads that are so cohesive with the page content, assimilated into the design, and consistent with the platform behavior that the viewer simply feels that they belong" (IAB 2013, 3). It is varyingly referred to with different types of disclosures such as sponsored content, branded content, or promoted content. This inconsistent labeling of native advertising complicates an audience member's ability to identify the type of content he or she is consuming (Austin and Newman 2015;Conill 2016;Einstein 2016;Sonderman and Tran, 2013; Wojdynski and Evans 2015)...

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“…Of all of the indexes that have been developed for assessing source credibility, Meyer's scale is one of the most validated, and is used in newspaper credibility research (Roberts, 2010). Although it was developed in the context of newspapers, it has been applied successfully to other fields too, such as advertising and online information (Choi & Lee, 2007;Greer, 2003;Oyedeji, 2007), showing that the questions of the scale are of a general usefulness for source credibility. The scale, as adapted to the purpose of the present study, is presented in Appendix B.…”

Section: Independent Variablesmentioning

confidence: 99%

Expertise, credibility of system forecasts and integration methods in judgmental demand forecasting

Alvarado

Barrero

Önkal

et al. 2017

International Journal of Forecasting

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a b s t r a c tExpert knowledge elicitation lies at the core of judgmental forecasting-a domain that relies fully on the power of such knowledge and its integration into forecasting. Using experts in a demand forecasting framework, this work aims to compare the accuracy improvements and forecasting performances of three judgmental integration methods. To do this, a field study was conducted with 31 experts from four companies. The methods compared were the judgmental adjustment, the 50-50 combination, and the divide-and-conquer. Forecaster expertise, the credibility of system forecasts and the need to rectify system forecasts were also assessed, and mechanisms for performing this assessment were considered. When (a) a forecaster's relative expertise was high, (b) the relative credibility of the system forecasts was low, and (c) the system forecasts had a strong need of correction, judgmental adjustment improved the accuracy relative to both the other integration methods and the system forecasts. Experts with higher levels of expertise showed higher adjustment frequencies. Our results suggest that judgmental adjustment promises to be valuable in the long term if adequate conditions of forecaster expertise and the credibility of system forecasts are met.

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Evaluating the Credibility of Online Information: A Test of Source and Advertising Influence

Cited by 139 publications

References 15 publications

A Little Bird Told Me, So I Didn't Believe It: Twitter, Credibility, and Issue Perceptions

A Little Bird Told Me, So I Didn't Believe It: Twitter, Credibility, and Issue Perceptions

Saving Media or Trading on Trust?

Expertise, credibility of system forecasts and integration methods in judgmental demand forecasting

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