A study of the impacts of positive/negative feedback on collective wisdom—case study on social bookmarking sites

Hwang, Yuan-Chu; Yuan, Soe‐Tsyr; Weng, Jung-Hui

doi:10.1007/s10796-009-9186-8

Cited by 16 publications

(13 citation statements)

References 16 publications

(10 reference statements)

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“…An early study on online travel information found that consumers invest higher trust in reviews published on government/tourism websites in comparison to those on a social media site . Hwang et al (2011) analysed the social bookmarking sites for impact of positive and negative reviews on collective wisdom and found that negative reviews are capable of stabilizing system performance. Dellarocas et al (2010) suggest that online forums looking to increase reviews of lesser-known products should make information on previously posted reviews a less prominent feature.…”

Section: Reviews and Recommendations On Social Media Sitesmentioning

confidence: 99%

Advances in Social Media Research: Past, Present and Future

et al. 2017

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Social media comprises communication websites that facilitate relationship forming between users from diverse backgrounds, resulting in a rich social structure. User generated content encourages inquiry and decision-making. Given the relevance of social media to various stakeholders, it has received significant attention from researchers of various fields, including information systems. There exists no comprehensive review that integrates and synthesises the findings of literature on social media. This study discusses the findings of 132 papers (in selected IS journals) on social media and social networking published between 1997 and 2017. Most papers reviewed here examine the behavioural side of social media, investigate the aspect of reviews and recommendations, and study its integration for organizational purposes. Furthermore, many studies have investigated the viability of online communities/social media as a marketing medium, while others have explored various aspects of social media, including the risks associated with its use, the value that it creates, and the negative stigma attached to it within workplaces. The use of social media for information sharing during critical events as well as for seeking and/ or rendering help has also been investigated in prior research. Other contexts include political and public administration, and the comparison between traditional and social media. Overall, our study identifies multiple emergent themes in the existing corpus, thereby furthering our understanding of advances in social media research. The integrated view of the extant literature that our study presents can help avoid duplication by future researchers, whilst offering fruitful lines of enquiry to help shape research for this emerging field.

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Section: Reviews and Recommendations On Social Media Sitesmentioning

confidence: 99%

Advances in Social Media Research: Past, Present and Future

et al. 2017

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“…The effect of social relationships on consumer behaviors can be divided into two types: direct and indirect. A typical example of the direct impact is the word of mouth (Herr et al ., ; Anderson, ; Dellarocas, ; Plu et al ., ; Jansen et al ., ; Hwang et al ., ). Hill et al () used the telecom consumption data to conduct statistical experiments, and their results confirmed that social relationships are positively correlated with the probability of users' adoption.…”

Section: Literature Reviewmentioning

confidence: 99%

Recommendations based on Social Relationships in Mobile Services

Zhu

Yang

2014

Syst. Res.

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The scarcity problem in user-product matrix has become severe, which is affecting the recommendation system efficiency in mobile services; it is also related to social networks and Internet of Things, where huge amount of data and complex relationships exist. This paper proposes a novel recommendation approach based on social relationships between users to handle the scarcity problem and facilitate recommendations in mobile services. We define a model of social relationships based on a set of call detail record factors of telecom users and design a vacancy-filling method to reduce the scarcity of the user-product matrix. An integrated similarity measure is provided to improve the filtering rules of neighbours of the target user. Then, we build a new recommendation system based on social relationships, with mobile services in the telecom industry as the application. Furthermore, we conductexperiments with the real-world data of voice calls, and experimental results show that the filling method proposed can effectively reduce the scarcity of the user-product matrix and our social relationships approach outperforms the collaborative filtering in terms of the call, precision and mean absolute error indicators.

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“…Currently, the users' contributions are treated as a valuable factor for CI. Users are also encouraged to contribute with content, interact with other users and exchange knowledge (Hwang et al, 2009). For DSD, the organizations follow standards established by themselves and traditional software engineering.…”

Section: Introductionmentioning

confidence: 99%

“…Communication, the focus of this research, can be regarded as a fundamental activity for development environments. But, as it does not happen in the physical presence, it should be encouraged and facilitated, once it is one of the problems of CI and, consequently, the understanding of information (Hwang et al, 2009). These problems affect the quality of the final product developed.…”

Section: Introductionmentioning

confidence: 99%

Development of Open Source Software, a Qualitative View in a Knowledge Management Approach

Muriana

Maciél

García

2014

Proceedings of the 16th International Conference on Enterprise Information Systems

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Open Source Software (OSS) is software that users have freedom to modify and share it with no cost whatever their intentions. A major feature of this kind of software is its development in public, where the collective intelligence (CI) is applied and the knowledge is shared. The communication is a fundamental activity to these settings of development. To support the communication process, knowledge management (KM) stimulates the communication and the information sharing among people. This way, a good communication among users that are stimulated and coordinated addresses the final quality of the open source project. This work surveys how KM stimulates quality assurance in developing open source settings. It focuses on users, on the communication among them, and on the documentation they can help to write.

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A study of the impacts of positive/negative feedback on collective wisdom—case study on social bookmarking sites

Cited by 16 publications

References 16 publications

Advances in Social Media Research: Past, Present and Future

Advances in Social Media Research: Past, Present and Future

Recommendations based on Social Relationships in Mobile Services

Development of Open Source Software, a Qualitative View in a Knowledge Management Approach

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