Evidence map›Paper›PMID 36699613›Full record

ArticleFrontiers in artificial intelligence2022

Challenging social media threats using collective well-being-aware recommendation algorithms and an educational virtual companion.

Dimitri Ognibene, Rodrigo Wilkens, Davide Taibi, Davinia Hernández-Leo, Udo Kruschwitz, Gregor Donabauer, Emily Theophilou, Francesco Lomonaco, Sathya Bursic, Rene Alejandro Lobo and 8 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in artificial intelligence, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
17.9field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 31 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors at 8 institutions in 5 countries.

Dimitri OgnibeneDepartment of Psychology, University of Milano-Bicocca, Milan, Italy.
Rodrigo WilkensCental, Institut Langage et Communication (IL&C), Université catholique de Louvain (UCLouvain), Ottignies-Louvain-la-Neuve, Belgium.
Davide TaibiInstitute for Education Technology, National Research Council of Italy, Palermo, Italy.
Davinia Hernández-LeoDepartment of Information and Communication Technologies, Pompeu Fabra University, Barcelona, Spain.
Udo KruschwitzFaculty of Information Science, University of Regensburg, Regensburg, Germany.
Gregor DonabauerFaculty of Information Science, University of Regensburg, Regensburg, Germany.
Emily TheophilouDepartment of Information and Communication Technologies, Pompeu Fabra University, Barcelona, Spain.
Francesco LomonacoDepartment of Psychology, University of Milano-Bicocca, Milan, Italy.
Sathya BursicDepartment of Psychology, University of Milano-Bicocca, Milan, Italy.
Rene Alejandro LoboDepartment of Information and Communication Technologies, Pompeu Fabra University, Barcelona, Spain.
J Roberto Sánchez-ReinaDepartment of Information and Communication Technologies, Pompeu Fabra University, Barcelona, Spain.
Lidia ScifoInstitute for Education Technology, National Research Council of Italy, Palermo, Italy.
Veronica SchwarzeInstitute of Computer Science, Ruhr West University of Applied Science, Bottrop, Germany.
Johanna BörstingInstitute of Computer Science, Ruhr West University of Applied Science, Bottrop, Germany.
Ulrich HoppeRhein-Ruhr Institut für Angewandte Systeminnovation, Duisburg, Germany.
Farbod AprinRhein-Ruhr Institut für Angewandte Systeminnovation, Duisburg, Germany.
Nils MalzahnRhein-Ruhr Institut für Angewandte Systeminnovation, Duisburg, Germany.
Sabrina EimlerInstitute of Computer Science, Ruhr West University of Applied Science, Bottrop, Germany.
Pompeu Fabra University · ESRhine-Ruhr Institute for Applied Systeminnovation · DERuhr West University of Applied Sciences · DENational Research Council · ITUniversity of Milano-Bicocca · ITUniversity of Regensburg · DEUCLouvain · BEUniversity of Essex · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Social media have become an integral part of our lives, expanding our interlinking capabilities to new levels. There is plenty to be said about their positive effects. On the other hand, however, some serious negative implications of social media have been repeatedly highlighted in recent years, pointing at various threats to society and its more vulnerable members, such as teenagers, in particular, ranging from much-discussed problems such as digital addiction and polarization to manipulative influences of algorithms and further to more teenager-specific issues (e.g., body stereotyping). The impact of social media-both at an individual and societal level-is characterized by the complex interplay between the users' interactions and the intelligent components of the platform. Thus, users' understanding of social media mechanisms plays a determinant role. We thus propose a theoretical framework based on an adaptive "

Indexed as

collective well-beinghierarchical reinforcement learningrecommender systemssocial mediasocial media threatsvirtual companion

Identifiers

PMID36699613
PMCPMC9869176
OpenAlexW3129125516

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.