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antropologo.net, dataviz, collective intelligence, algorithms, social learning, social change, digital humanities
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Report: #Bot traffic is up to 61.5% of all website traffic | #scrapers #agents

Report: #Bot traffic is up to 61.5% of all website traffic | #scrapers #agents | e-Xploration | Scoop.it

Bot traffic is up to 61.5% of all website traffic. Who's up, who's down and is Google really winning its war on spam?

luiy's insight:

Research Methodology

 

For the purpose of this report we observed 1.45 Billion visits, which occurred over a 90 day period. The data was collected from a group of 20,000 sites on Incapsula’s network, which consists of clients from all available plans (Free to Enterprise). Geographically, the traffic covers all of the world’s 249 countries, per country codes provided by an ISO 3166-1standard.

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¿Bots rezando por Venezuela? Un análisis de #PrayForVenezuela | #SNA #controverses via @AlbertoEscorcia

¿Bots rezando por Venezuela? Un análisis de #PrayForVenezuela | #SNA #controverses via @AlbertoEscorcia | e-Xploration | Scoop.it
Esto es un ejercicio para tratar de entender las recientes protestas ocurridas en Venezuela desde los pasados 12 y 13 de Febrero donde a través de etiquetas y tendencias de Twitter han llegado masivos reportes de violencia, represión de protestas, de supuesta censura e incluso las afirmaciones y el llamado …
luiy's insight:

Entiéndase esto pues como una interpretación, no como una afirmación  y menos como una postura. Solo en Venezuela los venezolanos saben qué ocurre, en el mundo tratamos de entender a la distancia y que sirva este esfuerzo par abonar al entendimiento porque existen muchas preguntas.

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New #Algorithm Can Spot the Bots in Your Twitter Feed | #dataviz

New #Algorithm Can Spot the Bots in Your Twitter Feed | #dataviz | e-Xploration | Scoop.it
Researchers have created an algorithm that can tell—with 85 percent accuracy—whether a Twitter account is home to a bot or (worse) a corporate shill.

Via Pierre Levy
luiy's insight:

You know Twitter spam when you see it—but wouldn’t it be nice if you didn’t have to see it?

 

Unfortunately, email-style filters, which analyze message contents, are of little help. Due to the rigors of 140-character communication, even legitimate tweets tend to read like Nigerian phishing scams, while the hucksters often hide their pitches in links. So Twitter simply puts the onus on users to report offending accounts.

 

But a fascinating recent study from Imperial College London suggests a new approach. Borrowing some tricks from computational neuroscience, coauthors Gabriela Tavares and Aldo Faisal have come up with an algorithm that can tell—with 85 percent accuracy—whether a Twitter account is home to a bot or (worse) a corporate shill instead of a regular person.

 

It’s all in the timing. By analyzing the timestamps on 165,000 tweets, the researchers found that these three user types—individuals, companies, and robots—have very distinct activity patterns. Think of it as temporal fingerprinting. The approach could eventually be used to create more effective filters for all kinds of social networks.

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Les #robots sur le Web social: état des lieux et #prospectives / via @LesDiplomates | #socialbots

Les #robots sur le Web social: état des lieux et #prospectives / via @LesDiplomates | #socialbots | e-Xploration | Scoop.it
Des robots avancés ont désormais infiltré les réseaux sociaux et peuvent interagir et tromper les êtres humains. Quelle impact sur les métiers du numérique?
luiy's insight:

De fait, les "bots" ne sont plus un épiphénomène, mais participent pleinement au fonctionnement d’Internet. Mais au-delà des classiquescrawlers bots, l’apparition de programmes automatiques plus ou moins raffinés sur le Web social pose indubitablement des questions d’ordre éthique, juridique et, surtout, stratégique.

 

 

Etat des lieux des robots à l’heure actuelle

 

A l’origine, les robots étaient des programmes informatiques censés effectuer des tâches répétitives, simples et automatisées, à un degré de fréquence plus ou moins élevé, avec le minimum d’implication.

 

Mais ces programmes ont gagné en raffinement à mesure qu’ils s’attaquaient aux réseaux sociaux. Désormais, des "socialbots" avancés ont infiltré Twitter et d’autres réseaux sociaux et sont en mesure de tromper les êtres humains. Si votre première pensée consiste à croire qu’un robot est facilement repérable et qu’il n’est pas très sophistiqué, vous êtes dans l’erreur. Un groupe de chercheurs brésiliens a récemment démontré que non seulement les robots étaient en mesure de pénétrer et stimuler des communautés, mais ils pouvaient également altérer leurs opinions et devenir des influenceurs.

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Social #agents y #algoritmos - simulated #identities - #bots agents o agentes emergentes - rep.licants.org

Social #agents y #algoritmos - simulated #identities - #bots agents o agentes emergentes - rep.licants.org | e-Xploration | Scoop.it
luiy's insight:

rep.licants.org is a web service allowing users to install an artificial intelligence (bot) on their Facebook and/or Twitter account. From a different set of techniques, the bot attempts to simulate the activity of the user, to improve it by feeding his account and to create new contacts with other users.

The bot does not born with a fictitious identity, but will be added to the real identity of the user to modify it at his convenience. Thus, this bot can be seen as a virtual prothesis added to an user's account, with the aim to build him a greater social reputation. Moreover, this bot can be perceived as a threat by defrauding even more the reality of who is really who on the cyberspace and by showing the poverty of our social interactions on these so-called social networks.

Home | Bot's Diary | About | Stats | Changelog | © 2011 rep.licants.org

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