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A sociological approach to digital traces
The document discusses the significance of digital traces in understanding social processes through a sociological lens, highlighting various academic approaches to analyzing these traces. Case studies illustrate how digital footprints, such as social media interactions and data recorded by wearable devices, can reflect social events and emotional experiences. The conclusion emphasizes the need for a multidisciplinary approach combining quantitative data, interpretive theories, and computational tools in digital sociology.
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A sociological approach to digital traces
- 1. GOING HUNT THETRACKS TO INVESTIGATE SOCIALITY. A SOCIOLOGICAL APPROACH TO DIGITAL TRACES Davide Bennato Università di Catania davide.bennato@unict.it @tecnoetica
- 2. PAPER Bennato, D. (2021),The Digital Traces’ Diamond. A Proposal to Put Together a Quantitative Approach, Interpretive Methods, and Computational Tools, Italian Sociological Review, vol. 11, n.4S, pp. 207-224. http://www.italiansociologicalreview.com/ojs/index.php?journal=ISR& page=article&op=view&path%5B%5D=432
- 3. WHAT ARE DIGITALTRACES? • Signs testifying a process (social or digital) • Digital footprint, data traces, tracking elements…. https://connection.mit.edu/sites/default/files/publication-pdfs/data%20driven%20society%20sci%20amer_0.pdf
- 4. Different tradition forunderstanding traces The ethnomethodology approach: Garfinkel (1967), ethnomethods The school of suspicion: Ricoeur (1970), Nietsche, Marx, Freud The interpretive anthropology: Geertz (1973), thick description The evidential paradigm: Ginzburg (1979), the spy and art history http://crackleo.over-blog.com/2019/02/thick-description-clifford-geertz-pdf.html
- 5. Elements of digitaltraces Digital object: sign of a process (social or computational) Producer: a user related to the digital object Reference: computational context where the sign have a semantic Social process: social context the sign can be socially interpretable (Zappavigna, 2017) https://www.degruyter.com/view/book/9783110431070/10.1515/9783110431070-008.xml
- 7. A (simple) modelfor the digital traces Griswold (1994): the cultural diamond The digital traces’s diamond Cultural object Social world Creator Receiver Digital object Social process Producer Reference
- 8. Case study #1:Celebrate pride June 2015: Supreme Court decision to uphold marriage equality On social media many people celebrated the decision with rainbow profile photo Facebook’s researchers could retrieve user data to test predictive theories https://www.theatlantic.com/technology/archive/2015/06/were-all-those-rainbow-profile-photos-another-facebook-experiment/397088/
- 9. Digital object Social process ProducerReference Profile pic Slacktivism FB User FB Feed
- 10. Case study #2:The Koby Soto’s heartbreak January 2016: Koby Soto, a student from Israel, was left from his boyfriend by phone In that moment he was wearing a Fitbit who was recording his heartbeat throughout the day The Fitbit recorded the exact moment of their break up https://www.buzzfeed.com/stephaniemlee/a-mans-fitbit-captured-the-exact-moment-he-felt-heartbreak https://twitter.com/iamkoby/status/689521611611971588/photo/1
- 11. Digital object Social process ProducerReference Heartbeat Emotion Sensor Fitbit
- 12. Celebrity effect inWikipedia The pageviews of Wikipedia reveal a celebrity effect The spikes of the data referrers to the death of different kind of famous people (journalists, musicians, politician, actors) https://pageviews.toolforge.org/pageviews/?project=it.wikipedia.org&platform=all-access&agent=user&redirects=0&range=latest-60&pages=Gianfranco_De_Laurentiis|Jole_Santelli|Alfredo_Cerruti|Pino_Scaccia|Gigi_Proietti|Stefano_D%27Orazio
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- 14. Digital object Social process ProducerReference Page views Celebrity death Wikipedia reader Wikipedia
- 15. CONCLUSIONS Digital tracesare an important part of the digital sociology and the digital methods We need to overcome any kind of dichotomy in the interpretation of data and digital processes The future of the digital sociologist (and in a a broad sense of the digital social scientist) rely on a mix of quantification (data), interpretation (theories or models), and computation (digital tools)
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