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Accidental Activists: Using Facebook to Drive Change: An Interview with Randi Zuckerberg

2010· article· en· W282894242 sur OpenAlexaboutno aff
Jose Vericat

Notice bibliographique

RevueJournal of international affairs · 2010
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueSocial Media and Politics
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésSocial mediaReputationFriendshipSociologyChat roomPower (physics)Media studiesPublic relationsThe InternetPolitical scienceLawSocial scienceWorld Wide Web
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

With millions of users across the world, from places as diverse as Colombia, Kenya and Malaysia, Facebook has revolutionized social networking. Randi Zuckerberg, who works on marketing, politics, current events and nonprofits for Facebook, Inc., explains how 500 million friends are turning the online social network into people power and change for the better. This interview was conducted by Jose Vericat for the Journal of International Affairs. Journal of International Affairs: In your introduction to the book The Networked Nonprofit, you talk about the 5.5 million members of Facebook who joined a group to support cancer research and who in the end raised $135,000. It is impressive, but one cannot help thinking that is only 2.45 cents per person. Can Facebook go beyond the virtual Oxfam water jar? In other words, is social media merely a vehicle for self expression that does not offer ways to effect change? Randi Zuckerberg: I think it is important to remember that social media used effectively for fundraising is, in many ways, still in its infancy. People are only just starting to tap into its potential. I would also encourage you to look beyond the dollar amount alone. Through social media, people not only donate money, but even more importantly, their reputation and identity. Each time someone clicks like or joins a cause on Facebook, they are broadcasting that message to hundreds of their friends, and aligning themselves with a particular issue. Even though they might not donate much in the beginning, the awareness generated from that simple action has a ripple effect and has the potential to recruit some extremely engaged volunteers and donors in the future. In the cancer research example, $135,000 was raised, but 5.5 million people were also made more aware of that particular issue. Awareness is an immensely powerful tool to effect social change. Journal: How far can Facebook go to support democratization, for example in Egypt, where other more conventional efforts have failed so far? Zuckerberg: Social media is inherently democratic since it allows people to produce, consume and share content broadly. For flee. Giving people a platform for discussion and coordination has tremendous ramifications for democratization in Egypt and across the globe. The image of the hundreds of thousands of Colombian citizens who organized on Facebook and marched to protest the FARC is a testament to this. (1) Facebook provides a forum where information can be quickly and efficiently published, and this function takes on particular importance where these forums are absent from day-to-day political life or where individual liberties are curtailed. I believe that Facebook's ability to occupy the space of a free and unmoderated media and civil space will bring many more opportunities for meaningful democratic change. From a young Canadian university student named Alex Bookbinder who rallied others against state-sponsored violence in Burma/Myanmar, to the thousands upon thousands of Colombian citizens who collectively rallied against FARC, Facebook has facilitated social interactions that would have been otherwise impossible. I believe that Facebook will continue to exist as a powerful means for tackling collective action issues. Journal: Beyond democratization, in what other areas are you having a global impact? We hear, for example, that survivors of the Haiti earthquake used Facebook to search for their relatives, or people in refugee camps in Kenya used it to find work. How much of this is actually going on? What is the actual impact? Zuckerberg: Facebook as a whole represents the cumulative interaction of 500 million people, each creating their own story. …

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,607
Score d'incertitude au seuil0,709

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,001
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,052
Tête enseignante GPT0,375
Écart entre enseignants0,324 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeQualitatif
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations9
Publié2010
Routes d'admission1
Résumé présentoui

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