Measuring Information Seeking through Facebook: Scale development and initial evidence of Information Seeking in Facebook Scale (ISFS)

Asghar, Hanan M.

doi:10.1016/j.chb.2015.06.005

Cited by 54 publications

(48 citation statements)

References 51 publications

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“…The relationships between information seeking and other variables, such as gender, [36][37][38] positions and the information needs, 39-41 discipline and education level, 42-45 prior knowledge, 46 personality traits, 47,48 information literacy, 42,49 and some sort of characteristics such as anxiety, 50,51 and uncertainty 52,53 have been measured by some scholars. The relationships between information seeking and other variables, such as gender, [36][37][38] positions and the information needs, 39-41 discipline and education level, 42-45 prior knowledge, 46 personality traits, 47,48 information literacy, 42,49 and some sort of characteristics such as anxiety, 50,51 and uncertainty 52,53 have been measured by some scholars.…”

Section: Related Workmentioning

confidence: 99%

“…Information seeking and its dimensions have been analyzed and measured in different disciplines and contexts. The relationships between information seeking and other variables, such as gender, [36][37][38] positions and the information needs, [39][40][41] discipline and education level, [42][43][44][45] prior knowledge, 46 personality traits, 47,48 information literacy, 42,49 and some sort of characteristics such as anxiety, 50,51 and uncertainty 52,53 have been measured by some scholars.…”

Section: Related Workmentioning

confidence: 99%

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Fog learning for cultivating critical thinking in information seeking process

Haghparast

Abdullah

Nasaruddin

2018

Concurrency and Computation

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Fog computing has been emerged as a promising paradigm with the different applications from industry to academic area. In this paper, we proposed a new concept, namely fog learning with the aim of addressing the critical thinking as a demanding issue in academic area. Due to the distributed architecture of our fog learning model, it can be used anywhere, anytime, and with the minimum latency in comparison with the existing mobile and cloud learning models to foster the critical thinking. To test the effectiveness of the proposed method, we applied the Software Usability Measurement Inventory (SUMI) as well as the acceptance test. We firstly showed that more than 74% of participants suffered from lack of critical thinking. Moreover, the participants indicated that they use several critical thinking skills during information seeking process, which shows there are relationships between critical thinking skills and the information seeking processes.According to the relationships between critical thinking skills and the information seeking processes, we designed a prototype for cultivating of critical thinking on the basis of fog learning. The results of the prototype evaluation emphasized on its positive role to foster critical thinking. KEYWORDScritical thinking skills, fog computing, fog learning, information seeking process, postgraduate students, prototype INTRODUCTIONCritical thinking (CT) is a significant skill in the information society to recognize false, incomplete, old, or new information. One of the main goals of higher education in the information age is to make students active in the learning process. 1 Facione 2 stated that teaching students to think critically is not only important to the society in general but is also vital to the students' learning process. Most instructors claim that it is essential for students to develop CT skills when they start their academic learning because these skills help students to have purposeful and self-regulatory reasoning.CT also helps students to evaluate the opinion of others, make decisions, and arrive at a reasonable conclusion when encountering complicated problems. 3Recently, the Internet has been known as a popular information source to meet different information needs, especially during learning process of students. Due to the variety of information resources, it is an essential task for students to know how to find, analyze, and evaluate the information.The students can find proper information while they attempt to pass the information seeking processes by leveraging the CT. 4 In spite of the importance of CT in higher education and industry, feedback from the industry still indicates the lack of CT skills among new graduate students. 5,6 Therefore, the first problem of this study is lack of CT among postgraduate students who graduate from universities in a variety of degrees and disciplines. As a result, finding a solution to cultivate CT is highly required.On the other hand, well-educated persons with CT skills are able to recognize relevant information...

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Fog learning for cultivating critical thinking in information seeking process

Haghparast

Abdullah

Nasaruddin

2018

Concurrency and Computation

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“…Facebook usage is not only associated with interpersonal communication and maintaining relationships (Cheung et al, 2011), consumers also use Facebook to seek and respond to information (Basilisco and Cha, 2015). In particular, consumers search on Facebook for consumer trends information (Asghar, 2015). Organizations communicating on food issues have responded to this by using Facebook to link with consumers and inform them about (food) issues.…”

Section: Introductionmentioning

confidence: 99%

The Effect of Online Social Proof Regarding Organic Food: Comments and Likes on Facebook

2018

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Social media created a new information environment (e.g., Rutsaert et al., 2013b). Among social media channels, Facebook is the most popular one (Cheung et al., 2011). Using Facebook people can exchange information rapidly with others. Consumers can post a statement or message on Facebook (a post), respond to these posts (the comments), and indicate that they agree with the post and/or comment by using the "thumb up" symbol (the likes). Both comments and likes are cues of social proof, e.g., the viewpoints of others. We investigated how social proof in an online environment impacts reactions toward organic foods in two experimental studies. In study 1, using a representative sample of Dutch internet users (n = 124), we manipulated comment valence (positive vs. negative) and reinforcement (number of likes: high vs. low) on a fictitious Facebook page that included four comments. Consumers' perceptions, feelings, and behavior, such as risk perception, emotions and intended purchasing behavior, were measured. Comment evaluation was used as a moderator. In study 2 (n = 88) a full Facebook page, with mixed valence statements, was shown; either the positive or negative statements were reinforced by likes. Results of study 1 showed that the way respondents evaluated the comments in terms of usefulness affected benefit perception and the motivation to find information. Moreover, the interaction between valence and comment evaluation was significant for all dependent variables. That is, the predicted effect of social proof only occurred when the comments were perceived as useful. The number of likes did not have an effect. Results of study 2 where participants watched a full Facebook page with mixed valence comments, showed that the number of likes had an effect on consumers' reactions, specifically on negative emotions and willingness to pay. This research provides new insights in the effects of explicit as well as implicit online social proof on attitudes toward a positively evaluated topic, namely organic food.

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“…Facebook gained popularity in the Netherlands the last years and is currently the most popular social media channel among university students (Cheung, Chiu & Lee, 2011). Individuals use Facebook for various reasons, including interpersonal communication, maintaining relationships (Cheung et al, 2011), and information seeking (Basilisco & Cha, 2015) about, for example, consumer trends (Asghar, 2015). The popularity and possibilities of Facebook make it relevant to examine to what extent individuals are influenced by proof of the opinions of others, in particular online comments and the number of likes at a statement.…”

Section: This Dissertationmentioning

confidence: 99%

“…Facebook usage is not only associated with interpersonal communication and maintaining relationships (Cheung et al, 2011), individuals also use Facebook to seek and respond to information (Basilisco & Cha, 2015). In particular, individuals search on Facebook for consumer trends information (Asghar, 2015). Increasingly, Food communicating organisations (e.g.…”

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confidence: 99%

Making sense of food risk information : the case of organic food

Hilverda

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Measuring Information Seeking through Facebook: Scale development and initial evidence of Information Seeking in Facebook Scale (ISFS)

Cited by 54 publications

References 51 publications

Fog learning for cultivating critical thinking in information seeking process

Fog learning for cultivating critical thinking in information seeking process

The Effect of Online Social Proof Regarding Organic Food: Comments and Likes on Facebook

Making sense of food risk information : the case of organic food

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