70% of companies are ignoring customer complaints on Twitter
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shared by Anne INF6107 on 30 Mar 13
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3 Reasons Why Brands Need to Respond to Customer Tweets | Social Media Today - 0 views
socialmediatoday.com/...s-need-respond-customer-tweets
Activité-A 1-étoile service à la clientèle twitter
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when companies do reply back to tweets, the percentage of users who liked and loved it combined was at a little over 73% with a nearly identical percentage result for satisfaction in the “very” and “somewhat” satisfied categories.
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Think before you tweet and make the tweet in response one that is personalized to what they need, rather than a stiff pre-meditated reply.
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5 Reasons Why Nobody Reads Your Blog - 0 views
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Quelques conseilles pour les bloguers : Si personne s'intéresse à note blogue, voici les raisons : - Votre blogue est trop ennuyant et « académique » => rédigez vos billets sous forme d'une conversation ! - Vos billets ne sont pas publié régulièrement => publiez fréquemment ! - Trop de publicités => limitez-les ! - L'interface graphique laisse à désirer => améliorez-la ! - Manque de visibilité => choisissez les mots clés appropriés pour que les moteurs de recherche vous trouvent !
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Activité A : Crowdsourcing: 5 Reasons It's Not Just For Startups Any More - D... - 1 views
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Frequently referred to as crowdsourcing, and a darling of the Web 2.0 industry, it has recently come of age as the tools and marketplaces for on-demand work capacity on the network have expanded far beyond the early volunteer communities that originally proved out the concepts. These pioneers, which include the world of open source software and online services such as YouTube and Threadless, get most of their value from a large group of people or community through the simple use of an open invitation.
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The reasons that a business would use crowdsourcing is varied. They include ability to offload peak demand, access to cheaper business inputs, generating better results, and tackling problems that would have been too difficult to do otherwise.
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shared by Camille Leroy on 20 Jul 13
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5 Reasons Why Tumblr May Become a Problem for Your Company | Social Media Strategies Su... - 0 views
socialmediastrategiessummit.com/...ome-a-problem-for-your-company
Activité -A 1- étoiles social media
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Cet article réfléchir sur les changements au sein de Tumblr peuvent affecter le service offert aux entreprise Tumblr, parfois écrit tumblr., est une plate-forme de microblogage, via le principe du reblogage principalement, créée en 2007, qui permet à l'utilisateur de poster du texte, des images, des vidéos, des liens et des sons sur son tumblelog. (Source Wikipédia)
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shared by Harry Sahyoun on 26 Jul 13
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Collective Knowledge Systems: Where the Social Web meets the Semantic Web - 1 views
tomgruber.org/...CollectiveKnowledgeSystems.htm
3-étoiles Activité-A Folksonomies_Semantic_Collectivities Web2_To_Web3
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The Social Web is represented by a class of web sites and applications in which user participation is the primary driver of value.
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Collective intelligence is a grand vision, one to which I subscribe. However, I would call the current state of the Social Web something else: collected intelligence. That is, the value of these user contributions is in their being collected together and aggregated into community- or domain-specific sites
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With the rise of the Social Web, we now have millions of humans offering their knowledge online, which means that the information is stored, searchable, and easily shared. The challenge for the next generation of the Social and Semantic Webs is to find the right match between what is put online and methods for doing useful reasoning with the data. True collective intelligence can emerge if the data collected from all those people is aggregated and recombined to create new knowledge and new ways of learning that individual humans cannot do by themselves.
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Technology can augment the discovery and creation of knowledge. For instance, some drug discovery approaches embody a system for learning from models and data that are extracted from published papers and associated datasets. By assembling large databases of known entities relevant to human biology, researchers can run computations that generate and test hypotheses about possible new therapeutic agents.
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The first approach is to expose the structured data that already underlies the unstructured web pages. An obvious technique is for the site builder, who is generating unstructured web pages from a database, to expose the structured data in those pages using standard formats.
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the second approach, to extract structured data from unstructured user contributions [2] [28] [39] . It is possible to do a reasonable job at identifying people, companies, and other entities with proper names, products, instances of relations you are interested in (e.g., person joining a company) [1] [7] , or instances of questions being asked [24] . There also techniques for pulling out candidates to use as classes and relations, although these are a bit noisier than the directed pattern matching algorithms [8] [23] [31] [32] [36] [38] [42]
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Tomorrow, the web will be understood as an active human-computer system, and we will learn by telling it what we are interested in, asking it what we collectively know, and using it to apply our collective knowledge to address our collective needs.
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The third approach is to capture structured data on the way into the system. The straightforward technique is to give users tools for structuring their data, such as ways of adding structured fields and making class hierarchies.
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In a sense, the TagCommons project is attempting to create a platform for interoperability of social web data on the Semantic Web that is akin to the "mash-up" ecology that is celebrated in Web 2.0.
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An example of how a system might apply some of these ideas is RealTravel. RealTravel is an example of "Web 2.0 for travel". It attracts travelers to share their experiences: sharing their itineraries, stories, photographs, where they stayed, what they did, and their recommendations for fellow travelers. Writers think of RealTravel as a great platform to share their experiences -- a blog site that caters to this domain. People who are planning travel use the site as a source of information to research their trip,
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The collection of tags for a site is called the folksonomy, which is useful data about collective interests.
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like many Web 2.0 sites, combines these structured dimensions to order the unstructured content. For example, one can find all the travel blogs about diving, sorted by rating. In fact, the site combines all of the structured dimensions into a matrix, which offers the user a way to "pivot browse" along any dimension from any point in the matrix.
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This paper argues that the Social Web and the Semantic Web should be combined, and that collective knowledge systems are the "killer applications" of this integration. The keys to getting the most from collective knowledge systems, toward true collective intelligence, are tightly integrating user-contributed content and machine-gathered data, and harvesting the knowledge from this combination of unstructured and structured information.
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Structured and unstructured, formal and informal -- these are not new dimensions. They are typically considered poles of a continuum.
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We are beginning to see companies launching services under the banner of Web 3.0 [25] that aim explicitly at collective intelligence. For instance, MetaWeb [35] is collecting a commons of integrated, structured data in a social web manner, and Radar Networks [25] is applying semantic web technologies to enrich the applications and data of the social web.
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The other major area where Semantic Web can help achieve the vision of collective intelligence is in the area of interoperability. If the world's knowledge is to be found on the Web, then we should be able to use it to answer questions, retrieve facts, solve problems, and explore possibilities.
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Technology can augment the discovery and creation of knowledge. For instance, some drug discovery approaches embody a system for learning from models and data that are extracted from published papers and associated datasets. By assembling large databases of known entities relevant to human biology, researchers can run computations that generate and test hypotheses about possible new therapeutic agents
5 reasons why this election might surprise you | #NOW - 0 views
hashtagnow.wordpress.com/...is-election-might-surprise-you
Activité-C billet Sujet_au_choix Élections2014
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shared by anonymous on 12 Jun 14
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4 Reasons Why Companies Should Adopt an Internal Social Media Networking Platform | Mar... - 0 views
marshallbusinessnetwork.com/...cial-media-networking-platform
Activité-A 3-étoiles internal networking
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Three Reasons Students Should Own Your Classroom's Twitter and Instagram Accounts (EdSu... - 0 views
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How to Work from Home and Be More Productive | Digitoly - 0 views
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The current situation of the Corona Virus pandemic has forced many
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It is very easy to get distracted and get off task while working from home. Reasons could be many, for instance, you need to do laundry, cook, or do something
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you should set up a dedicated work desk for yourself in a place that is airy and have ample natural light to work from
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y easy to get distracted and get off task while working from home. Reasons could be many, for instance, you need to do laundry, cook, or do something
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you can relax sitting on the sofa
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Working from home doesn’t mean that you should be working in your pajamas with the television on in the background. It needs the self-discipline to maintain an environment that makes you focus on your work even while working from home. To set the tone you should get ready in the morning as you are going to the office and not working from home
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But sitting in dark even if you are using a backlit keyboard and anti-glaring screen would put a strain on your eyes and you won’t be able to work productively for a longer time.
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Get Out and Socialize
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6 reasons to invest in startups from Ukraine – TechCrunch - 1 views
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L'Ukraine a été engloutie dans les flammes d'une guerre avec la Russie. Cela peut ressembler à un drapeau rouge du point de vue d'un investisseur, mais tout n'est pas si noir et blanc dans le secteur technologique du pays. Les entreprises informatiques ont démontré leur résilience et leur capacité à fournir des résultats malgré les pires défis. C'est l'une des nombreuses raisons qui font de l'Ukraine une plaque tournante réussie pour les futures licornes.
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shared by Harry Sahyoun on 27 Jul 13
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Do we need copyright? - 1 views
lemire.me/...do-we-need-copyright
1-étoile Activité-A Copyright_Openness_collective_knowledge_conflicting_phenomena
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Yet we are trained to hold copyright as a natural right. People who infringe on copyright are labelled as pirates, thieves. We are told that they literally steal from hard-working creators.
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Fourth myth: We know that copyright makes us collectively better off. The evidence points in the opposite direction. Germany had weak copyright laws up until the Copyright Act of 1901. Yet, maybe because of these weak laws, it became a literary and scientific power: (…), only 1,000 new works appeared annually in England at that time – 10 times fewer than in Germany – and this was not without consequences. Höffner believes it was the chronically weak book market that caused England, the colonial power, to fritter away its head start within the span of a century, while the underdeveloped agrarian state of Germany caught up rapidly, becoming an equally developed industrial nation by 1900. (No Copyright Law The Real Reason for Germany’s Industrial Expansion? by Frank Thadeusz)
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Similarly, Japan, Korea and Taiwan have maintained weak intellectual property regimes. It is believed that this was a key factor to explain
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My position: I see no justification for copyright. I am effectively a writer: I write lecture notes, research articles and blog posts. I get paid without relying on copyright. Instead, I have patrons: funding agencies, students, and blog readers. But if we insist on having copyright, it should at least be limited to a short term (say 5 years or less).
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Intelligence at the Interface Semantic Technology and the Consumer Internet Experience - 0 views
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Search Results web social - 1 views
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Fourth myth: We know that copyright makes us collectively better off. The evidence points in the opposite direction. Germany had weak copyright laws up until the Copyright Act of 1901. Yet, maybe because of these weak laws, it became a literary and scientific power: (…), only 1,000 new works appeared annually in England at that time – 10 times fewer than in Germany – and this was not without consequences. Höffner believes it was the chronically weak book market that caused England, the colonial power, to fritter away its head start within the span of a century, while the underdeveloped agrarian state of Germany caught up rapidly, becoming an equally developed industrial nation by 1900. (No Copyright Law The Real Reason for Germany’s Industrial Expansion? by Frank Thadeusz)
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Stop Online Piracy Act (SOPA) which would allow the government to shut down web site that is suspected of violating copyright. Using SOPA, a publisher could have a repository of research papers shut down. While at it, the publishers are also promoting a bill, the Research Works Act which would make it illegal for government agencies to require open access from publicly funded researchers.
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we finally get a hint at why it is so hard it is to open up science: the business of science has become intertwined with businesses like the publishing business.
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Do we need copyright? The concept of property is a social construction
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First myth: Copyright is meant primarily to protect authors.
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My position: I see no justification for copyright. I am effectively a writer: I write lecture notes, research articles and blog posts. I get paid without relying on copyright. Instead, I have patrons: funding agencies, students, and blog readers.
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Shirky: Ontology is Overrated -- Categories, Links, and Tags - 1 views
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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.
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Yahoo is saying "We understand better than you how the world is organized, because we are trained professionals. So if you mistakenly think that Books and Literature are entertainment, we'll put a little flag up so we can set you right, but to see those links, you have to 'go' to where they 'are'."
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They missed the end of this progression, which is that, if you've got enough links, you don't need the hierarchy anymore. There is no shelf. There is no file system. The links alone are enough.
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One reason Google was adopted so quickly when it came along is that Google understood there is no shelf, and that there is no file system. Google can decide what goes with what after hearing from the user, rather than trying to predict in advance what it is you need to know.
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They point to the signal loss from the fact that users, although they use these three different labels, are talking about the same thing.
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You can also turn that list around. You can say "Here are some characteristics where ontological classification doesn't work well": Domain Large corpus No formal categories Unstable entities Unrestricted entities No clear edges Participants Uncoordinated users Amateur users Naive catalogers No Authority
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The other big problem is that predicting the future turns out to be hard, and yet any classification system meant to be stable over time puts the categorizer in the position of fortune teller.
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Here is del.icio.us, Joshua Shachter's social bookmarking service. It's for people who are keeping track of their URLs for themselves, but who are willing to share globally a view of what they're doing, creating an aggregate view of all users' bookmarks, as well as a personal view for each user.
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" If you find a way to make it valuable to individuals to tag their stuff, you'll generate a lot more data about any given object than if you pay a professional to tag it once and only once.
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Tags are simply labels for URLs, selected to help the user in later retrieval of those URLs. Tags have the additional effect of grouping related URLs together. There is no fixed set of categories or officially approved choices. You can use words, acronyms, numbers, whatever makes sense to you, without regard for anyone else's needs, interests, or requirements.
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But this is what organization looks like when you turn it over to the users -- many different strategies, each of which works in its own context, but which can also be merged.
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But they either had no way of reflecting that debate or they decided not to expose it to the users. What instead happened was it became an all-or-nothing categorization, "This is entertainment, this is not entertainment." We're moving away from that sort of absolute declaration, and towards being able to roll up this kind of value by observing how people handle it in practice.
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What you do instead is you try to find ways that the individual sense-making can roll up to something which is of value in aggregate, but you do it without an ontological goal.
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you believe that we make sense of the world, if we are, from a bunch of different points of view, applying some kind of sense to the world
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we're going to be able to build alternate organizational systems, systems that, like the Web itself, do a better job of letting individuals create value for one another, often without realizing it.
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If you think the movies and cinema people were going to have a fight, wait til you get the queer politics and homosexual agenda people in the same room.