Provenance in Social Computing: A Case Study

Riveni, Mirela; Baeth, Mohamed Jehad; Aktaş, Mehmet S.; Dustdar, Schahram

doi:10.1109/skg.2017.00021

Cited by 6 publications

(3 citation statements)

References 12 publications

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“…Social data provenance is not only associated with a social media data's history in time, but also with the relationships of this data with other entities which enabled its creation. The concept of social data provenance (Markovic et al 2013;Riveni et al 2017) can be used to answer the following questions viz., What is the source of this socially published data?, Why this data is generated?, How this data is derived?, Who has published this data?, What is the history of this data? etc.…”

Section: Need Of Social Data Provenancementioning

confidence: 99%

“…Social data provenance is often referred as the information about who created or changed content, what and how it was changed, regardless of their geographic location or access technology. The importance of social data provenance in social media analytics with several key challenges such as measuring quality and truthiness of social data, provenance capturing, provenance storage, and querying provenance are presented in Feng et al (2018), Markovic et al (2013), Riveni et al (2017), Baeth and Aktas (2017), Tas et al (2016), Cheng et al (2012) and Wang et al (2015). An open-source tool, i.e., Social Feed Manager (SFM) (Kerchner et al 2016) is developed to capture metadata associated with a tweet.…”

Section: Related Workmentioning

confidence: 99%

“…Hence, to rebuild the trust, there is a need to restore the concept of data provenance (Buneman and Tan 2019;Cheney et al 2009;Glavic and Miller 2011;Bearman and Lytle 1985;Herschel et al 2017;Buneman et al 2000;Buneman and Davidson 2010;Simmhan et al 2005;Yuan et al 2018) in social media. Social data provenance is the only way through which social media can regain some semblance of trust from their users (Corsar et al 2016;Feng et al 2018;Markovic et al 2013;Riveni et al 2017). In this paper, our main motivation is to explore the need of provenance data associated with digital content published on social media, and to design an efficient social data provenance (SDP) framework based on zero-information loss graph database (ZILGDB).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Social data provenance framework based on zero-information loss graph database

Rani

Goyal

Gadia

2022

Soc. Netw. Anal. Min.

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Social media has become a common platform for global communication across the world due to its rapid dissemination of information among a large audience. Its popularity has raised a crucial challenge to capture the social data provenance of a piece of information published on social media. Social data provenance describes the source and deriving process of a digital content, and when it is updated since its existence? It aids in determining reliability, authenticity, and trustworthiness of a piece of information and explaining how, when, and by whom this information is published. In this paper, we propose a social data provenance (SDP) framework based on zero-information loss graph database (ZILGDB). The proposed framework supports historical data queries, and querying through time using updates management in ZILGDB. It has the capability to capture provenance for a query set including select, aggregate, and data update queries with insert, delete, and update operations. It also provides a detailed provenance analysis through visualization and with efficient multi-depth provenance querying support, to determine both direct and indirect sources of a digital content. We conduct a real-life use case study to evaluate the usefulness of proposed framework in terrorist attack investigation. We evaluate the performance of proposed framework in terms of average execution time for various provenance queries, and provenance capturing overhead for a query set.

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Section: Need Of Social Data Provenancementioning

confidence: 99%