Free and Always Will Be? On Social Media Participation as it Undermines Individual Autonomy
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Social media participation undermines individual autonomy in ways that ought to concern ethicists. Discussions in the philosophical literature are concerned primarily with egregious conduct online such as harassment and shaming, keeping the focus on obvious ills to which no one could consent; this prevents a wider understanding of the risks and harms of quotidian social media participation. Two particular concerns occupy me: social media participation carries the risks of (1) negatively formative experiences and (2) continuous partial attention due to our habituation to the variable rewards that social media platforms provide. Although social media offer benefits as well as risks, self-knowledge of whether one benefits more than one suffers from one’s social media participation is vexed by the very processes involved in participating. We are not as free to leave social media as we are to enter. I conclude with a consideration and rejection of the objections that the ubiquity of the practice indicates implied consent to risks, and that users of social media can simply choose not to use such communication technologies at all. I argue that we cannot be said to consent to enter into social media usage meaningfully, even implicitly, and we do not all have equally easy options to avoid the contexts that provide the stimuli of persistent desires.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it