Anyone can add you and if you dont know them you could be at a big risk. Rule / one you must never add someone you dont know . Rule two / if someone is asking you to add them and wont leave you alone tell someone you know .Rule three / report .On the report botton which should be on every social networking website . Chatrooms are a big ,no no . Chatrooms are corsed for danger you are chating to strangers you dont now and could be dangros. Dont tell them any information eg ; where you live , age , Social media really progress Anglais pour school ect . You should never meet anyone you dont now and if they ask you say no . There could be someone you think you have meet and is your age but could turn out that there not . If you are threatended you amerdley REPORT them on the report button and block them so there cant talk to you any more . Dont let it happen to you .
Human activity in the technical milieu must correspond to this milieu and also must be collective.
These are eminently collectivist virtues, but they are not negligible, and they assure the individual a certain human dignity in the collectivity of mass men. But there are more compelling realities. The tendency toward psychological collectivization does not have man's welfare as its end. It is designed just as well for his exploitation. In today's world, psychological collectivization is the sine qua non of technical action. Human activity in the technical milieu must correspond to this milieu and also must be collective. It must belong to the order of the conditioned reflex. Complete human discipline must respond to technical necessity. And as the technical milieu concerns all men, no mere handful of them but the totality of society is to be conditioned in this way. The reflex must be a collective one. Psychological conditioning presupposes collectivity, for masses of men are more receptive to suggestion than individuals, and, as we have seen, suggestion is one of the most important weapons in the psychological arsenal.
At the same time, the masses are intolerant and think everything must be black or white. This results from the moral categories imposed by technique and is possible only if the masses are of a single mind and if countercurrents are not permitted to form. The conditions for psychological efficiency are, first, group integration and, second, group unanimity. The purpose of psychological methods is to neutralize or eliminate aberrant individuals and tendencies to fractionation. Simultaneously, the tendency to collectivization is reinforced in order to "immunize" the environment against any possible virus of disagreement. When psychological techniques, in close co-operation with material techniques, have at last succeeded in creating unity, all possible diversity will have disappeared and the human race will have become a bloc of complete and irrational solidarity. The new order was meant to be a buffer between man and nature. The new milieu has its own specific laws which are not the laws of organic or inorganic matter.
Man is still ignorant of these laws. It nevertheless begins to appear with crushing finality that a new necessity is taking over from the old. In our cities there is no more day or night or heat or cold. But there is overpopulation, thraldom to press and television, total absence of purpose. All men are constrained by means external to them to ends equally external. The further the technical mechanism develops which allows us to escape natural necessity, the more we are subjected to artificial technical necessities. The artificial necessity of technique is not less harsh and implacable for being much less obviously menacing than natural necessity. Alongside these parades of mere verbalisms, there has been a real effort, on the part of the technicians themselves, to control the future of technical evolution. The principle here is the old one we have so often encountered: "A technical problem demands a technical solution." At present, there are two kinds of new techniques which the technicians propose as solutions.
The first solution hinges on the creation of new technical instruments able to mediate between man and his new technical milieu. In the machine, the notion of finality makes its appearance, a notion sometimes attributed in living beings to some intelligence inherent in the species, innate to life itself. Finality is artificially built into the machine and regulates it, an effect requiring that some factor be modified or reinforced so that the effect itself does not disturb the equilibrium . Errors are corrected without human analysis, or knowledge, without even being suspected. The error itself corrects the error. A deviation from the prescribed track itself enables the automatic pilot to rectify the deviation . Digital computers, by definition, consist of sets of purely formal operations on formally specified symbols. The computer attaches no meaning, interpretation, or content to the formal symbols' and qua computer it couldn't. The rules say such things as that the "squiggle-squiggle" sign is to be followed by the "squoggle-squoggle" sign. Suppose that people outside the room pass in more Chinese symbols and that following the instructions in the book I pass symbols back to them.
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The details of how the the brain works are immensely complicated and largely unknown, but some of the general principles of the relations between brain functioning and computer programs can be stated quite simply. First we know that brain process cause mental phenomena. Mental states are caused by and realized in the structure of the brain. From this it follows, that any system that produced mental states would have to have powers equivalent to those of the brain. Such a system might use a different chemistry, but whatever its chemistry, it would have to be able to cause what the brain causes. We know from the Chinese room argument that digital computer programs by themselves are never sufficient to produce mental states. Now since brains do produce minds, and since programs by themselves cannot produce minds, it follows that the way the brain does it can't be by simply instantiating a computer program.
Everything, by the way, instantiates some program or other, and brains are no exception. Every day, a new app or service arrives with the promise of helping people cut down on the flood of information they receive. It’s the natural result of living in a time when an ever-increasing number of news providers push a constant stream of headlines at us every day. But what if it’s the ways we choose to read the news — not the glut of news providers — that make us feel overwhelmed? The study, "ews and the Overloaded Consumer: Factors Influencing Information Overload Among News Consumers" was conducted by Avery Hilton and Iris Chyi. They surveyed more than 750 adults on their digital consumption habits and perceptions of information overload. On the central question of whether they feel overloaded with the amount of news available, 27 percent said “not at all”; everyone else reported some degree of overloaded.
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Holton and Chyi asked about the use of 15 different technology platforms and checked for correlation with feeling overloaded with information. Three showed a positive correlation as predictors of overload: computers, e-readers, and Facebook. Two showed a negative correlation: television and the iPhone. The rest — which included print newspapers, Twitter, iPads, netbooks, and news magazines, among others — showed no statistically significant correlations. The mention of netbooks — that declining form factor — raises an important factor about the study: Its survey took place in 2010, which was like another world when it comes to news consumption platforms. The iPad was brand new; Android was just starting its rapid growth. What the findings suggest, Holton said, is that the news platforms a person is using can play a bigger role in making them feel overwhelmed than the sheer number of news sources being consumed. “There was no connection between the number of news outlets people were using, so it made us think it was the device,” Holton told me. That may also explain why people have feelings of being overwhelmed by Facebook, which, like reading on the web, can be a bottomless hole of stories, videos, and endless links.
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But it doesn’t explain why people in the survey had different feelings towards Twitter, which can also be an unyielding stream of links. “We expected to find some overload in the use of Twitter or YouTube because there is so much content,” Holton said. “But there was no significance we found. One possible explanation is whether you define yourself as a news junkie. The survey asked people to report how much they enjoyed keeping up with the news — people who said they did had less of a perception of information overload. If you’re the type of person who wants to follow news during the day, it’s likely you have an established routine and a set of sites you check regularly. You also may not need as much context around the news. All of that would make Twitter a good source for you. Conversely, if you’re more passive about following the news, you might need to make more of an effort to find the right sources or find background or contextual information, which could lead to feelings of being overloaded, Holton said.
“Knowing what you’re looking for can decrease overload or perceptions of overload. So can constant engagement,” he said. Holton said they’re planning to dig deeper into the topic of information overload, looking specifically at how different devices feed feelings of overload. What the data says so far reinforces something we know anecdotally: People have different uses for the different platforms. On Twitter, you may be directly looking for news. On Facebook, you may have no agenda other than seeing what your friends are up to. I am very interested in the affects of the ecology of the media on its users and those who avail themselves to it. There are many ways to look at this point of view. Audience fragmentation is often taken as evidence of social polarization. Yet the tools we use to study fragmentation provide limited information about how people allocate their attention across digital media. We offer a theoretical framework for understanding fragmentation and advocate for more audience-centric studies. This approach is operationalized by applying network analysis metrics to Nielsen data on television and internet use. One of the most widely observed consequences of the growth in digital media is audience fragmentation.
As more offerings are delivered on broadband networks and more choices are available “on-demand,” patterns of consumption become more widely distributed. While some celebrate these changes as signaling a more responsive marketplace and robust public sphere (e.g., Anderson, 2006; Benkler, 2007), others see cause for concern. For each outlet, the number of links is totaled to provide a degree score. For ease of interpretation, we converted these totals to percentages. The quality of media products is not uniformly distributed. If prices are not prohibitive, attendance will gravitate to higher quality choices. Both media providers and media users seem to have an affinity for “A-list” talent when they can afford it (Caves, 2000). Digital media make it easier for users to consume quality products in two ways. The pursuit of quality and the social aspects of media come together in a third factor that concentrates audiences - media measures. Because digital media are abundant and the products involved are experience goods, users depend on recommendation systems to guide their consumption.
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The persistence of popularity, and the inclination of providers to imitate what is popular, suggests that audiences will not spin off in all directions. While the ongoing production of media by professionals and amateurs alike will grow the long tail ever longer, that does not mean endless fragmentation. Most niche media will be doomed to obscurity and the few who pay a visit will spend little time there. A Look At Six Emerging Technologies And Techniques. As a multitude of technologies become available to progress market research goals in the 21st century, researchers might become a bit fatigued trying to keep track of the next greatest innovation and the latest game-changing approach. However, while the perception persists that researchers are snapping up cutting-edge ideas left and right, the reality is that only a few are being commonly accepted and considered by a significant number of industry professionals. A sneak peek into the results from the most recent GRIT study notes that 'the top five emerging methods' have remained constant over the last several waves of research.
Online communities, mobile surveys, social media analytics, text analytics, and big data analytics were reported to be more than 30 per cent in use by respondents, with an equally high proportion considering their use in the near future. At the top of the list, 'online panel communities' were said to be in use by 49 per cent of respondents and under consideration by 33 per cent. As these emerging methods achieve mainstream adoption levels, what will be next on the horizon? Here are six up-and-coming technologies and techniques generating considerable interest for their potential to feed into and enrich current practices, as well as create completely new approaches in their own right. Mobile research is certainly here to stay. Recent estimations by the Kantar Group predict that '20 to 30 per cent of all data collection will be mobile' within two to three years. Echoing the position of the group, TNS is investing considerably in mobile, envisioning its strengths as overcoming the limitations of memory to provide more accurate information via direct responses, touch-point interaction, and journey mapping.
Information From Social Media
Connecting the physical and virtual worlds, new products ingrained with sensor technology not only provide valuable data to users, but also to companies. While offering these conveniences, it also tracks all of these activities to give Disney detailed insight into visitor behaviour and preferences to analyse the performance of various marketing and product development initiatives, and highlight needs for further customisation. These insights can be used to improve the service at all stages. Nike also draws from the considerable wealth of user data generated by products such as its FuelBand to inform future products and identify areas of opportunity. Accelerator project to create lateral offerings drawing upon this data - such as rewards in the form of coupons and discounts for achieving personal bests. The data harnessing capabilities of sensors embedded in products extends from wearable devices to home monitoring systems, such as those created by the start-up Nest, which was one of Google’s recent high-profile purchases.
In a multiscreen world, automatic content recognition (ACR) technology may play a pivotal role in connecting experiences across devices. By recognising the audio or visual “fingerprint” of content, a mobile device can identify the television programme, online video, or song an individual is being exposed to at that precise moment. Most commonly, this technology is seen in apps like Shazam, but it is also being incorporated directly into devices. While this clearly has implications for creating a targeted convergence of online and television advertisements, it also opens doors for market researchers to identify and deploy surveys to users immediately based on the content they are consuming in the moment. Alternately, ACR could be used to customise a questionnaire in the moment by picking up on cues in the survey respondent’s environment to ask questions tailored to that particular content. By drawing upon location data created by mobile applications and devices on a large scale, researchers can develop a metered understanding of the consumer journey in the physical world.
On the hyper-local end of this spectrum is 'geofencing, a location-based data' collection and interaction technique gaining considerable traction this year. By creating virtual fences around specific locations via dedicated apps, behavioural information can be collected on those app users during the time they spend in the designated area. For example, a department store could identify a VIP customer when that individual enters the store and send them a personalised message via their proprietary app. Made famous by Siri, natural language processing and understanding has made considerable advances in the last few years, and is seeing an increased level of integration within market research tools. As natural language processing becomes more sophisticated, so do the insights it can glean from analysing the vast amounts of social sentiment data being created by the proliferation of social media activities. These technologies will also play a growing role in the development of mobile apps for market research, increasing completion speed and convenience for survey respondents by avoiding the need for extensive text input.
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Topic title: Six Ways To Reinvent Your Social Media Outlets List
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