Modeling the effect of the badges gamification mechanism on personality traits of Stack Overflow users

Papoutsoglou, Maria; Kapitsaki, Georgia M.; Angelis, Lefteris

doi:10.1016/j.simpat.2020.102157

Cited by 24 publications

(12 citation statements)

References 20 publications

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“…Hence, the optimal value is difficult to be defined, since each experimental setup provides meaningful topics with a different value of

( Blei et al, 2003 , Ahmed and Bagherzadeh, 2018 ). Generally, a high value of

facilitates the extraction of deeper, more specific topics, whereas smaller values of

yield more broad and general topics ( Papoutsoglou et al, 2020 , Barua et al, 2014 ). In the current study, several experimentations and trial runs of LDA were conducted so as to optimize the value of

.…”

Section: Methodsmentioning

confidence: 99%

“…In general, the existing literature explores various subjects such as the identification of user characteristics and activity ( Rosen and Shihab, 2016 ), gamification/reputation mechanisms (badges etc.) ( Papoutsoglou et al, 2020 ), tagging activity regarding the technical aspects of research, factors that influence the timeframe of a question receiving an answer ( Mamykina et al, 2011 ), the semantic information hidden in posts ( Chen and Xing, 2016 , Ye et al, 2017 ), the reasons behind questions ( Asaduzzaman et al, 2013 ) and the exploration of discussion topics ( Beyer et al, 2020 ).…”

Section: Related Workmentioning

confidence: 99%

“…( Ortega et al, 2014 , Neshati, 2017 )). To ensure that competent answering is rewarded, SO is employing gamification mechanisms, distributing “badges” to esteemed responders and encouraging revisions and edits to posted questions and answers as well as the rapid answering of posts ( Papoutsoglou et al, 2020 , Wang et al, 2018a ).…”

Section: Related Workmentioning

confidence: 99%

See 2 more Smart Citations

An empirical study of COVID-19 related posts on Stack Overflow: Topics and technologies

Georgiou

Mittas

Chatzigeorgiou

et al. 2021

Journal of Systems and Software

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The COVID-19 outbreak, also known as the coronavirus pandemic, has left its mark on every aspect of our lives and at the time of this writing is still an ongoing battle. Beyond the immediate global-wide health response, the pandemic has triggered a significant number of IT initiatives to track, visualize, analyze and potentially mitigate the phenomenon. For individuals or organizations interested in developing COVID-19 related software, knowledge-sharing communities such as Stack Overflow proved to be an effective source of information for tackling commonly encountered problems. As an additional contribution to the investigation of this unprecedented health crisis and to assess how fast and how well the community of developers has responded, we performed a study on COVID-19 related posts in Stack Overflow. In particular, we profiled relevant questions based on key post features and their evolution, identified the most prominent technologies adopted for developing COVID-19 software and their interrelations and focused on the most persevering problems faced by developers. For the analysis of posts we employed descriptive statistics, Association Rule Graphs, Survival Analysis and Latent Dirichlet Allocation. The results reveal that the response of the developers’ community to the pandemic was immediate and that the interest of developers on COVID-19 related challenges was sustained after its initial peak. In terms of the problems addressed, the results show a clear focus on COVID-19 data collection, analysis and visualization from/to the web, in line with the general needs for monitoring the pandemic.

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“…Hence, the optimal value is difficult to be defined, since each experimental setup provides meaningful topics with a different value of

( Blei et al, 2003 , Ahmed and Bagherzadeh, 2018 ). Generally, a high value of

facilitates the extraction of deeper, more specific topics, whereas smaller values of

.…”

Section: Methodsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

An empirical study of COVID-19 related posts on Stack Overflow: Topics and technologies

Georgiou

Mittas

Chatzigeorgiou

et al. 2021

Journal of Systems and Software

Self Cite

View full text Add to dashboard Cite

show abstract

“…Halavais et al [9] investigate whether individual badge-seeking behaviour is motivated by exposure to others' achievements, concluding that 'general' badges are closely related to tenure on the site, while more numerous 'tag' badges are associated with socially influenced differentiation. Papoutsoglou, Kapitsaki & Angelis [10] introduce a methodology for modeling the effect of the badge reward system on the personal traits of Stack Overflow users based on data recorded before and after the award time, employing the 'Big Five' personality Factors.…”

Section: Related Workmentioning

confidence: 99%

Community evolution on Stack Overflow

Moutidis

Williams

2021

PLoS ONE

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Question and answer (Q&A) websites are a medium where people can communicate and help each other. Stack Overflow is one of the most popular Q&A websites about programming, where millions of developers seek help or provide valuable assistance. Activity on the Stack Overflow website is moderated by the user community, utilizing a voting system to promote high quality content. The website was created on 2008 and has accumulated a large amount of crowd wisdom about the software development industry. Here we analyse this data to examine trends in the grouping of technologies and their users into different sub-communities. In our work we analysed all questions, answers, votes and tags from Stack Overflow between 2008 and 2020. We generated a series of user-technology interaction graphs and applied community detection algorithms to identify the biggest user communities for each year, to examine which technologies those communities incorporate, how they are interconnected and how they evolve through time. The biggest and most persistent communities were related to web development. In general, there is little movement between communities; users tend to either stay within the same community or not acquire any score at all. Community evolution reveals the popularity of different programming languages and frameworks on Stack Overflow over time. These findings give insight into the user community on Stack Overflow and reveal long-term trends on the software development industry.

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“…Although a few studies examined gamification in Q&A communities, these studies only considered the use of badges to increase voluntary contributions (Cavusoglu et al , 2015; Li et al , 2012; Papoutsoglou et al , 2020). Thus, further investigation is necessary to consider other gamification features such as points and leaderboards, which are commonly utilized in Q&A communities.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Gamification effects on users' motivation to contribute knowledge in a Portuguese Q&A community

Amaral¹,

Kang

2021

AJIM

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PurposeThis research investigates the detailed mechanisms of how gamification affordances influence intrinsic and internalized extrinsic motivation and ultimately improve the quality and quantity of knowledge contribution.Design/methodology/approachSurvey responses from 154 users of Stack Overflow in Portuguese were analyzed by the partial least squares–structural equation modeling approach to validate the research model.FindingsChallenge and goal setting influence individuals to reach the flow state, which increases the quantity of knowledge contribution. Rewards enhance the quality of knowledge contribution through perceived self-worth. Social comparison increases perceived reputation, but its impact does not ultimately lead to knowledge contribution.Originality/valueThe current study differentiated types of motivation and dimensions of knowledge contribution when exploring the effects of gamification affordances. This perspective was proven helpful to understand the various gamification affordances' influence on knowledge contribution.

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Modeling the effect of the badges gamification mechanism on personality traits of Stack Overflow users

Cited by 24 publications

References 20 publications

An empirical study of COVID-19 related posts on Stack Overflow: Topics and technologies

An empirical study of COVID-19 related posts on Stack Overflow: Topics and technologies

Community evolution on Stack Overflow

Gamification effects on users' motivation to contribute knowledge in a Portuguese Q&A community

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