Social Media as a Lens into Careers During a Changing World of Work

People share and encounter a range of posts on social media that depict different career experiences, such as one's successes or failures. In a continually shifting world of work, observing others' job experiences can be useful for navigating one's own career journey. The present study applies the possible selves theory to understand how viewing people's career experiences on social media might affect viewers' career-related expectations, hopes, and fears. From semi-structured interviews with 19 social media users with different career experiences, this study found that social media posts may facilitate functions of possible selves by 1) increasing people's awareness of new and diverse career paths and 2) motivating people in planning and preparing for a desired possible self. Across these functions, we found that videos were particularly beneficial for uncovering and learning about life in a career and that observing others' career experiences online often evoked social comparison. Through an affordances lens, findings also indicate that social media affordances of visibility and persistence were particularly relevant in developing and assessing career-related possible selves and sometimes strategically managed through leveraging platform algorithms. This paper brings forth empirical contributions to the possible selves theory in the digital age and highlights the significance of social media mechanisms for possible selves. This paper also provides design implications for social media platforms and recommendations for potential career counseling and mentoring strategies that may be useful for individuals navigating and exploring career possibilities.

Authors

Institutions

Publication Details

Journal
Proceedings of the ACM on Human-Computer Interaction
Published
2024-11-07
DOI
https://doi.org/10.1145/3687053
Citations
3
Primary Topic
Knowledge Management and Sharing
Type
article
Field-Weighted Citation Impact
2.87
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Social Media as a Lens into Careers During a Changing World of Work

Shanley Corvite, Julie S. Hui
3 citations
Proceedings of the ACM on Human-Computer Interaction
Knowledge Management and Sharing
2.87
article

Social Media as a Lens into Careers During a Changing World of Work

Shanley Corvite, Julie S. Hui
article en
3 citations

Abstract

People share and encounter a range of posts on social media that depict different career experiences, such as one's successes or failures. In a continually shifting world of work, observing others' job experiences can be useful for navigating one's own career journey. The present study applies the possible selves theory to understand how viewing people's career experiences on social media might affect viewers' career-related expectations, hopes, and fears. From semi-structured interviews with 19 social media users with different career experiences, this study found that social media posts may facilitate functions of possible selves by 1) increasing people's awareness of new and diverse career paths and 2) motivating people in planning and preparing for a desired possible self. Across these functions, we found that videos were particularly beneficial for uncovering and learning about life in a career and that observing others' career experiences online often evoked social comparison. Through an affordances lens, findings also indicate that social media affordances of visibility and persistence were particularly relevant in developing and assessing career-related possible selves and sometimes strategically managed through leveraging platform algorithms. This paper brings forth empirical contributions to the possible selves theory in the digital age and highlights the significance of social media mechanisms for possible selves. This paper also provides design implications for social media platforms and recommendations for potential career counseling and mentoring strategies that may be useful for individuals navigating and exploring career possibilities.

Proceedings of the ACM on Human-Computer InteractionVol. 8(CSCW2)
University of Michigan (US)
Decent work and economic growth
Openalex Percentile: Top 9%
Knowledge Management and Sharing
2.87
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.