Agotada de la alta concentración por metro cuadrado de gurús de las redes sociales, en este sitio se levanta un muro de contención: Todos somos torpes y primerizos en la jungla digital. No hay expertos. Eso, al menos, es lo que enseñan en la Universidad de Stanford, donde se ha inventado casi todo y nadie se proclama gurú de nada. Este es, pues, un lugar para reírse de los tropezones en Internet. El viernes abrimos consultorio. Pregunte sin piedad, porque más temprano que tarde todos tendremos nuestro minuto de miseria digital.
Para el autor de 83 novelas y El viajero del tiempo la puerta de la creación en medios digitales ya está abierta y difícilmente se podrá cerrar Hasta el momento no he leído algo más allá de la ocurrencia o el chispazo, afirma el ganador de Premio ...
Esto origina que cada tuitero actúe o se comporte de una forma diferente, no todos somos iguales en el mundo real y tampoco tenemos porque serlo en las redes sociales. No vamos a entrar en un detallado estudio sobre las diversas personalidades de los perfiles de Twitter, simplemente nos limitaremos a compartir una interesante infografía que muestra 12 tipos de tuiteros que podemos encontrar en Twitter.
“ Twitter is a micro-blogging social media platform for short messages that can have a long-term impact on how scientists create and publish ideas. We investigate the usefulness of twitter in the development and distribution of scientific knowledge.”
Via Melissa A. Venable
Starting today, we are introducing the ability to create custom timelines in TweetDeck. Custom timelines, which were just announced, are a new type of timeline that you control by selecting the Tweets you want to include.
Twitter is a micro-blogging social media platform for short messages that can have a long-term impact on how scientists create and publish ideas. We investigate the usefulness of twitter in the development and distribution of scientific knowledge.
Anticipating repliers in online conversations is a fundamental challenge for computer mediated communication systems which aim to make textual, audio and/or video communication as natural as face to face communication. The massive amounts of data that social media generates has facilitated the study of online conversations on a scale unimaginable a few years ago. In this work we use data from Twitter to explore the predictability of repliers, and investigate the factors which inﬂuence who will reply to a message. Our results suggest that social factors, which describe the strength of relations between users, are more useful than topical factors. This indicates that Twitter users’ reply behavior is more impacted by social relations than by topics. Finally, we show that a binary classiﬁcation model, which differentiates between users who will and users who will not reply to a certain message, may achieve an F1-score of 0:74 when using social features.
Before the advent of Twitter, most educators I know had limited opportunities to collaborate with colleagues outside their building. Some subscribed to listservs or participated in online forums, but these outlets lacked critical mass; teachers also networked at in-person conferences and training sessions, but these isolated events didn't provide ongoing support.
Enter Twitter. I've heard many educators say that Twitter is the most effective way to collaborate and that they've learned more with Twitter than they have from years of formal professional development.
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