This type of monitoring of data using algorithms is certain to affect everything about citizens’ lives, from everyday tasks to political contribution. ” (Makulilo 2017, p.198) via the rise and use of big data, meaning the vast amounts of statistics in the public domain about people’s lives, money, health, jobs, desires, and more. O’Neil (2016, p.1) says that “some of these models are helpful, but many use sloppy statistics and biased assumptions; these wreak havoc on our society and particularly harm poor and vulnerable populations”. O’Neil (2016, p.1) explains that “this type of model is self-perpetuating, highly destructive, and very common.” Perhaps the most damning statement on the use of algorithms in societies based on data comes from Devlin (2017, online), who says that while societies which operate in this way “may seem appealing in the light of current political dysfunction worldwide … What does the future hold for algorithms and their place in Western societies and democracy? Real-life examples of how algorithms can affect major world events are plentiful. During elections, political parties can use online nudging to influence voters in a major way. Devlin (2017, online) contends that those working in the big data and analytics industries are perhaps the least likely to be surprised that political figures or parties would try to use algorithms to influence public behaviour in their favour, saying that “the application – both overt and covert – of technology to affect election outcomes was arguably inevitable” (Devlin 2017, online).
Smith (2017, online) agrees, noting that “The insidious thing about information pollution is that it uses the Internet’s strengths, like openness and decentralization, against it”, and that misinformation is a potential “global environmental disaster” that impacts everyone. This place is dedicated to openness – a mindlessly simple place where things work regardless of the types of operating systems. Google Glasses are the forthcoming device which provides the relevant, latest and simple information for the users. Google glasses have provided the flexibility for the developers to offer incredible services to the users by developing a unique featured app. In Western democracies, the amount of online data produced is doubled every year, and in every single minute of every day, hundreds of thousands of Google searches and Facebook posts are made (Helbing et. In fact, it has been argued that whoever controls this technology can “nudge themselves to power” (Helbing et. Understanding algorithms’ lack of neutrality is low among end users, and while disclosure policies can help somewhat, many of the long-winded privacy policies which have become standard on the web are seldom read (Ellis 2016, online). Critics of the use of online algorithms in Western democracies have pointed to how they can reinforce the ‘filter bubble’, or the way in which end users of search engines and social media get “all their own opinions reflected back at them” (Helbing et.
So now Google is actually trying to make its mobile advertisements better and at the same time, the number of users on mobile devices for searches is also increasing rapidly. Likewise with the launch of “Nearby Messages”, Google has rolled out an extension of its initial API which had the ability to locate people who are situated nearby suing the same shared network in the form of Bluetooth or Wi-Fi. The biggest goal for governments to influence people in this way is known as ‘big nudging’, or the combination of big data and nudging (Helbing et. In the world of politics, digital technology and the algorithms they conceal are becoming increasingly popular as tools for ‘nudging’: a behavioural design concerned with trying to steer or influence citizens towards thinking and acting in a certain way (Helbing et. Evidence has emerged that algorithms and their associated digital technologies have been used to bring about political outcomes in various countries in recent years, and it it likely that such methods will be an element of many future political campaigns. There is also evidence to show that during the UK Brexit campaign, huge numbers of “fake news stories, false factoids, and absurd claims were passed over social media networks, often by Twitter’s highly automated accounts” (Howard 2016, online).
While Facebook is described as ‘social media’, it is important to remember that its success it premised on using increasingly sophisticated techniques to target users by predicting the content they’ll want to read and watch, “along with the stuff they’ll want to buy from advertisers” (Ellis 2016, online). For example, the way they surf through internet, their social class, race etc. without seeking users’ permission and also without letting the users know about it. During a 2016 press conference, then-President Obama noted that “If everything seems to be the same and no distinctions are made, then we won’t know what to protect” and “Everything is true and nothing is true” (Jain 2016, online) on a social network such as Facebook. The way in which these photo-sharing social media have been used in recent elections suggests they will have a huge role to play in future similar contests. If you want to access Hindi news, simply put the mentioned keyword in search engine and you will be fetched with numerous online khabar portals in Hindi language. China is similar. Baidu, the Chinese equivalent of Google, incorporates a number of algorithms in its search engine to produce a “citizen score” (Helbing et.