Facebook’s “Free Basics”: For or against community development?
Bibliographic record
Abstract
A recent discussion on a prominent community informatics (CI) listserv revealed arguments for and against the Facebook’s Free Basics platform among researchers in the field. To continue and enrich the conversation, this study first examines the contrasting stances revealed in the CI listserv discussion and derives the CI researchers’ major concerns about the platform. Under the light of these concerns, we then explore the nature of Facebook’s Free Basics in relation to community development through analysis of one of the forefront services that Free Basics offers, i.e., Facebook. Specifically, we examine relationships between uses of Facebook and information technology (IT) identity formation and social capital. We argue that although projects operated by private companies may possess potential for supporting community development, much consideration is needed in embracing the technology solutions due to the risks and restrictions they can impose on its users. We also suggest the CI researchers to open the next round of discussion regarding ways to thoroughly assess possible flaws of Free Basics and help users of the platform make more informed decisions. IT identity is a new theory that can help shed new light on the challenges of using platforms such as Free Basics and their contribution to community development.
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.
How this classification was reachedexpand
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 | 0.007 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".