Group items tagged

Collective Knowledge Systems: Where the Social Web meets the Semantic Web

What can happen if we combine the best ideas from the Social Web and Semantic Web?

The Vision of Collective Intelligence

or centuries, the rich and the powerful documented their existence and their status through painted portraits.

Self-portraits can be especially instructive. By showing the artist both as he sees his true self and as he wishes to be seen, self-portraits can at once expose and obscure, clarify and distort.

Today, our self-portraits are democratic and digital; they are crafted from pixels rather than paints. On social networking websites like MySpace and Facebook, our modern self-portraits feature background music, carefully manipulated photographs, stream-of-consciousness musings, and lists of our hobbies and friends.

Despite these individual contributions (which we will revisit in more detail in Section 2), to fully understand tagging systems we believe a holistic approach is necessary. Walker [24] describes tagging as “feral hypertext”, a structure out of control, where the same tag is assigned to different resources with different semantic senses, and thus associates otherwise unrelated resources. However, by considering the entire model, computer systems could make inferences that “domesticate” (to use Walker’s terms) these “feral” tags. For example, tag semantics and synonyms could potentially be inferred by analyzing the structure of the social network, and identifying certain portions of the network that use certain tags for the same resource, or related resources, interchangeably. These tags may be synonymous

Different designs and user incentives can have a major influence on the usefulness of information for various purposes and applications, and in a reciprocal fashion, on how users appropriate and utilize these systems. The design of the system may solicit tagging useful for discovery, retrieval, remembrance, social interaction, or possibly, all of the above

Other likely explanations for the observed correlation between social connection and common tag usage may be found in the descriptive categories of sociolinguistics which studies how different geographic and social formations structure the coherence and diffusion of semantic and syntactic structures in various ”lects” within a larger sociolinguistic system. Some of these example lects include: dialect (a lect used by a geographicallydefined community); sociolect (a lect used by a socially defined community); ethnolect (a lect spoken by a particular ethnic group); ecolect (a lect spoken within a household or family); and idiolect (a lect particular to a certain person). If we conceptualize social tagging systems within the theoretical frame of sociolinguistics, these and other “lects” seem especially applicable to understanding and classifying the apparent isomorphism between social and linguistic structures we observed in Flickr. The structures, changes, and diffusion within and amongst various “lects” in social tagging systems will likely have similar patterns to those found in social network analyses and in sociolinguistic language maps.

Social networks are flooded with potential customers.

A social business engages the entire company, from CEO to executive assistant. Take advantage of the opportunity to foster your company’s internal community and teach valuable social media skills as the space rapidly grows and evolves.

Either teens are delusional about their social media use, or adults are freaking out over nothing.

They are fully aware that spending time on their smartphones detracts from homework and face-to-face communication, and they know that tech companies are out to get their attention, designing products to keep them tethered to their phones.

The evidence is overwhelming that, for the most part, teens are doing fine on social media,

of two hours every day sharing, liking, tweeting and updating on these platforms,

conclusive findings are limited

our feeds often resemble an endless stream of stress.

I want to convince you that many of the ways we're attempting to apply categorization to the electronic world are actually a bad fit, because we've adopted habits of mind that are left over from earlier strategies.

This is where parents and educators need to think long term and recognize that kids are building a personal brand from an early age.

Their digital footprint will have an impact on their future.

Universities want to recruit the students that they believe will best represent the university, both online and offline, while in school and beyond. Students with a robust social media presence and clearly defined personal brand stand to become only more influential. These students are positioned to become leaders in their respective fields, which will reflect positively on the university social communication word of thumb. Additionally, the recruiter has full access to who the applicant associates himself or herself with by who they’re following and engaging with. It’s a sneak (organic) peek into the life of the applicant.

Analytics & Predictive Models for Social Media

Part 1: Information flow in social media (slides) Collecting social media data Extracting and tracking the flow of relevant information Correcting for the effects of missing and incomplete data Predicting and modeling the flow of information Identifying networks of information flow Part 2: Rich user interactions (slides) Predicting and recommending links in network Modeling tie strenght Modeling trust and distrust, frieds and foes How users evaluate one another and the social media content

Les folksonomies peuvent constituer une alternative aux moteurs de recherche en permettant la construction de parcours et la mise en réseau d'informations mais aussi de personnes.

Pour beaucoup d’usagers, la recherche d’information est devenue synonyme de moteur de recherche voire de  « googlisation ». Cependant il existe désormais des alternatives à ce quasi monopole via notamment les folksonomies, mot composé par Thomas Vander Wal à partir de folk et de taxonomy et qui définit la possibilité offerte à l’usager d’ajouter des mots-clés à des ressources. Leurs stratégies de recherche diffèrent de la traditionnelle médiation des moteurs. Nous nous sommes interrogés sur la pertinence des folksonomies et leur intérêt réel dans le cas de la recherche d’information. En effet, la démarche « folksonomique » diffère de la simple requête et suppose d’autres habiletés. Cette analyse s’inscrit dans nos recherches sur les habiletés informationnelles ( information literacy ) Nos travaux sur ces nouveaux modes de partage et recherche d’informations s’appuient sur de nombreux tests des différentes plateformes permettant l’intégration de mots-clés qualifiés de tags. Nous nous sommes tout particulièrement ici appuyés sur les systèmes de partages de signets parfois appelés « marque-pages sociaux », voire signets sociaux (social bookmarks). Nous avons pu d’ailleurs constater que les différents sites d’intégration de favoris ont veillé à l’interopérabilité de leur système le plus souvent en utilisant le format xml. Une possibilité qui n’était pas offerte sur tous les sites il y a encore un an

Faut-il pour autant voir dans ces systèmes un concurrent  potentiel des moteurs ? Nous songeons plutôt à les considérer comme des alternatives au sens de cheminements de recherche différents qui nécessitent une construction et non une logique de push

more than four in ten Americans hear about or read tweets almost every day in media.

The “Social Habit” is defined as “the tendency to visit social media websites a few times per day.

Abstract Tools for social networking and social awareness are developing rapidly and evolving continuously. They are gaining popularity in a growing number of professional as well as personal activities, including scholarly research. There are social awareness tools for science researchers that facilitate collaboration, help manage references, and offer options for presenting findings in new ways. This paper discusses those tools. Evaluating and understanding their functionalities requires effort, and scientists can be reluctant to invest the necessary time to learn to use and populate them on their own. This suggests that an important role for librarians is to evaluate the many social awareness tools available, to recommend the ones that are best suited to each researcher's needs, and to help researchers use those tools effectively.

Google has pledged $6.5 million in funding to support fact-checkers and nonprofit organizations that are combating misinformation around the world, with an immediate focus on coronavirus

an overabundance of information can make it harder for people to obtain reliable guidance about the coronavirus pandemic

the mixed and confused messaging around the pandemic has the potential to cause major damage. If even one group of people thinks that they're immune, for example, they could be going out in public, ignoring social distancing rules, and spreading the virus unwittingly, essentially undoing the efforts of those who've correctly self-isolated and sacrificed to play their part.