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Record W2223828622 · doi:10.5539/elt.v9n2p1

Lurking and L2 Learners on a Facebook Group: The Voices of the Invisibles

2016· article· en· W2223828622 on OpenAlexvenueno aff
Latisha Asmaak Shafie, Aizan Yaacob, Paramjit Singh

Bibliographic record

VenueEnglish Language Teaching · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicImpact of Technology on Adolescents
Canadian institutionsnot available
FundersUniversiti Teknologi MARAUniversiti Utara Malaysia
KeywordsPsychologyNorm (philosophy)Qualitative researchComputer-mediated communicationSocial mediaOnline discussionSocial psychologyMathematics educationPedagogyThe InternetSociologyWorld Wide Web

Abstract

fetched live from OpenAlex

<p>This qualitative research investigates the practice of lurking among English as a second language (ESL) learners in a Facebook group discussion. Lurking is a term used to describe the activity of following and observing any online discussions or activities without contributing to the discussions. Lurkers are often accused of being invisible and passive participants. Facebook groups with international members usually uses English as the medium of communication in their group discussions. It is a norm for L2 learners to lurk in the group. These L2 learners often do not have the required English language proficiency and the confidence to participate actively in the group they join. This study explores lurking behaviours of three participants in learning English in informal Facebook contexts. This study uses a qualitative case study. The study involved three L2 learners who were university students and members of a Facebook group. The study involved online observation and semi-structured interviews with these three participants. Their Facebook accounts and a common Facebook group were observed for 14 weeks, and after the online observation, the participants were interviewed. Data collected from online observation and semi-structured interviewed were analysed and managed using Atlas.ti 7. The study reveals five emerging themes such as that lurkers have poor online communication skills, lack of confidence, learning by lurking, lack of a sense of belonging and lurking is the norm of Facebook groups.</p>

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.244
Threshold uncertainty score0.503

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.010
GPT teacher head0.281
Teacher spread0.272 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations13
Published2016
Admission routes1
Has abstractyes

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