In this paper, we present the findings of a qualitative analysis of 15,750 comments left by 2,041 participants in a Reconcile web credibility evaluation study. While assessing the credibility of the presented pages, respondents of the Reconcile studies were also asked to justify their ratings in writing. This work attempts to give an insight into the factors that affected the credibility assessment. To the best of our knowledge, the presented study is the most-recent large-scale study of its kind carried out since 2003, when the Fogg et al. śHow do users evaluate the credibility of Web sites? A study with over 2,500 participants’ paper was published. The performed analysis shows that the findings made a decade ago are still mostly valid tod...
The purpose of this study is to examine to what extent the context in which people interact with onl...
Social feedback in the form of audience ratings, community tags, recommendations, and text comments ...
Social feedback in the form of audience ratings, community tags, recommendations, and text comments ...
In this paper, we present the findings of a qualitative analysis of 15,750 comments left by 2,041 pa...
In this paper, we present the findings of a qualitative analysis of 15,750 comments left by 2,041 pa...
Individuals are increasingly relying on Internet content to influence life-impacting decisions. This...
While a variety of research studies have examined factors that influence individuals’ attitudes towa...
This heuristic study of web credibility, considered education as a previously determined demographic...
This article reviews selected literature related to the credibility of information, including (1) th...
The Internet as a source of information became extremely important among information seekers in rece...
Seeking information is a part of life and evaluating the quality of information is a critical part o...
Purpose It is well known that information behaviour can be biased in countless ways and that users o...
Purpose It is well known that information behaviour can be biased in countless ways and that users o...
Models of the need-driven information search and the information appraisal process were formed from ...
This book introduces readers to Web content credibility evaluation and evaluation support. It highli...
The purpose of this study is to examine to what extent the context in which people interact with onl...
Social feedback in the form of audience ratings, community tags, recommendations, and text comments ...
Social feedback in the form of audience ratings, community tags, recommendations, and text comments ...
In this paper, we present the findings of a qualitative analysis of 15,750 comments left by 2,041 pa...
In this paper, we present the findings of a qualitative analysis of 15,750 comments left by 2,041 pa...
Individuals are increasingly relying on Internet content to influence life-impacting decisions. This...
While a variety of research studies have examined factors that influence individuals’ attitudes towa...
This heuristic study of web credibility, considered education as a previously determined demographic...
This article reviews selected literature related to the credibility of information, including (1) th...
The Internet as a source of information became extremely important among information seekers in rece...
Seeking information is a part of life and evaluating the quality of information is a critical part o...
Purpose It is well known that information behaviour can be biased in countless ways and that users o...
Purpose It is well known that information behaviour can be biased in countless ways and that users o...
Models of the need-driven information search and the information appraisal process were formed from ...
This book introduces readers to Web content credibility evaluation and evaluation support. It highli...
The purpose of this study is to examine to what extent the context in which people interact with onl...
Social feedback in the form of audience ratings, community tags, recommendations, and text comments ...
Social feedback in the form of audience ratings, community tags, recommendations, and text comments ...