Socio-technical gaps in online collaborative consumption (OCC)

Gheitasy, Ali; Abdelnour-Nocera, José; Nardi, Bonnie

doi:10.1145/2775441.2775458

Cited by 12 publications

(10 citation statements)

References 30 publications

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“…"Or vedi l'anime di color cui vinse l'ira." 1 -Dante Alighieri, Divina Commedia, Inferno Online conversations have a reputation for going awry (Hinds and Mortensen, 2005;Gheitasy et al, 2015): antisocial behavior (Shepherd et al, 2015) or simple misunderstandings (Churchill and Bly, 2000;Yamashita and Ishida, 2006) hamper the efforts of even the best intentioned collaborators. Prior computational work has focused on characterizing and detecting content exhibiting antisocial online behavior: trolling (Cheng et al, 2015(Cheng et al, , 2017, hate speech (Warner and Hirschberg, 2012;Davidson et al, 2017), harassment (Yin et al, 2009), personal attacks (Wulczyn et al, 2017) or, more generally, toxicity (Chandrasekharan et al, 2017;Pavlopoulos et al, 2017b).…”

Section: Introductionmentioning

confidence: 99%

Conversations Gone Awry: Detecting Early Signs of Conversational Failure

Zhang¹,

Chang²,

Danescu-Niculescu-Mizil³

et al. 2018

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

161

143

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One of the main challenges online social systems face is the prevalence of antisocial behavior, such as harassment and personal attacks. In this work, we introduce the task of predicting from the very start of a conversation whether it will get out of hand. As opposed to detecting undesirable behavior after the fact, this task aims to enable early, actionable prediction at a time when the conversation might still be salvaged.To this end, we develop a framework for capturing pragmatic devices-such as politeness strategies and rhetorical prompts-used to start a conversation, and analyze their relation to its future trajectory. Applying this framework in a controlled setting, we demonstrate the feasibility of detecting early warning signs of antisocial behavior in online discussions. * Corresponding senior author.

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Section: Introductionmentioning

confidence: 99%

Conversations Gone Awry: Detecting Early Signs of Conversational Failure

Zhang¹,

Chang²,

Danescu-Niculescu-Mizil³

et al. 2018

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

161

143

View full text Add to dashboard Cite

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“…Some past studies state CC transaction is not ownership but access to goods and services (Bardhi & Eckhardt, 2012;Hwang & Griffiths, 2017;Plenter et al, 2017). The other past studies mention CC includes ownership transfer (Gheitasy et al, 2015;Habibi, Davidson, & Laroche, 2017;Lindblom et al, 2018). According to Botsman & Rogers (2010), three types of CC are Product service system, redistribution, and a collaborative lifestyle.…”

Section: -Jshmentioning

confidence: 99%

“…Research potentials of CC might be obscured because of overlapping scope with another similar concept, which is Sharing Economy (SE) (Becker-Leifhold, 2018;Belk, 2014;Gheitasy, Abdelnour-Nocera, & Nardi, 2015;Hamari, Sjöklint, & Ukkonen, 2016;Martin, 2016;Möhlmann, 2015;Plenter, Fielt, Von Hoffen, Chasin, & Rosemann, 2017). Both CC and SE share several characteristics.…”

Section: Introductionmentioning

confidence: 99%

A Positioning Map and Future Research Agenda of Collaborative Consumption

Octavia

Yudoko

Nasution

2020

JSH

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Collaborative consumption (CC) is the new business model which overlaps with the concept of sharing economy (SE). However, CC has some unique characteristics that are not found in SE. This study aims to compare the two based on three dimensions: compensation, ownership, and platform. E-Commerce (EC) is included into the comparison in order to show that CC is actually a combination of SE and EC, thus covering a larger set than the other two concepts. The method used in this study is the literature study. The methods used CC concept manually and VOSviewer software to reassure and explore the unique characteristics of CC in comparison with SE and EC. The positioning map based on two dimensions: compensation and platform generate six business models that can be represented the characteristic of CC, SE, and EC. The six models are: (1) platform-based and monetary compensation; (2) platform-based and non-monetary compensation; (3) platform-based and without compensation; (4) non-platform-based and monetary compensation; (5) non-platform-based and non-monetary compensation; (6) non-platform-based and without compensation. The last dimension is ownership describe that CC activity is including exchange-based and access-based activity, while SE provides access-based activity only and EC offering exchange-based activity. The study also aims to discover the unique characteristics of CC that will be used as the basis for developing a future research agenda of CC.

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“…A good reputation can be considered a form of social capital, which enables them to know further details such as location, interest, social activities, and friends [1]. For example, Airbnb and Couchsurfing include profiles as well as reviews and ratings by others within the service providers' profiles [29][15], to help in establishing online social presence [17] and trustworthiness [37], which contribute towards attracting more users [33]. Previous customer reviews are more informative and allow the consumer to gauge the trustworthiness of the account [29].…”

Section: Related Workmentioning

confidence: 99%

“…Social media applications have received substantial attention in the HCI community [17][2] [42] [12]. Firms of all sizes report a rapid increase in using social media for commercial activities [21] [22].…”

Section: Introductionmentioning

confidence: 99%

Investigating Commercial Capabilities and Trust in Social Media Applications for Entrepreneurs

AlArfaj

Solaiman

2019

Proceedings of the 9th International Conference on Communities &Amp; Technologies - Transforming Communities

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This study attempts to present sellers' behaviours and activities in social commerce within the context of a local social group. It describes how the sale and marketing of homemade products, or imported goods, are conducted in Saudi Arabia using social media platforms (Instagram, WhatsApp, Twitter, and Snapchat) as well as using offline tools such as phones, family and friend recommendations, and events. We interviewed 17 female entrepreneurs who own e-shops on social media applications. The research describes how sellers try to market themselves and build their reputation to gain consumer trust despite a lack of commercial functionality within the social platforms that they use. This paper presents insights into new opportunities for peers and business owners that social commerce can bring. We also argue that social media applications can expand their uptake from businesses and entrepreneurs by designing functionality aimed at improving their commercial capabilities, and aimed at enabling sellers to build their own reputation and trust. CCS CONCEPTS• CCS → Human-centered computing → Human computer interaction (HCI) → Interaction techniques

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Socio-technical gaps in online collaborative consumption (OCC)

Cited by 12 publications

References 30 publications

Conversations Gone Awry: Detecting Early Signs of Conversational Failure

Conversations Gone Awry: Detecting Early Signs of Conversational Failure

A Positioning Map and Future Research Agenda of Collaborative Consumption

Investigating Commercial Capabilities and Trust in Social Media Applications for Entrepreneurs

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