Researchers have identified the socio-demographic characteristics of readers of Russian online publications

    The analytical company Data Centric Alliance ( DCA ) investigated the socio-demographic characteristics of readers of Russian online publications. This made it possible to determine which publications are preferred by men and which by women, what are read by citizens with high incomes and citizens with modest earnings. For the analysis, the researchers selected the 30 most cited Internet resources for May 2015, according to the Medialogy version .

    “In the entire population of users we have data on (over 60 million), for example, 5% accurately indicated their gender as male - in some kind of online testing or on social networks. We take all the data about these 5% and identify the characteristic behavior - from requests for potency to football news. Further, people with similar behavior are marked in the database as men. With women - the same pattern. After that, a small percentage of the unallocated remains, ”Anton Shestakov, DCA spokesman , told Izvestia.

    To identify an audience with alcohol addiction, for example, researchers searched for users who over the past two months have visited the clinic’s sites for treating alcoholism, pages with drug treatment consultations on alcohol, and so on. Similarly, theater lovers, athletes and other categories were identified.

    It turned out that the poorest segments of the population read, and The richest people read,,,, Among single citizens the most popular are,,,, Family readers prefer,,,, Sports enthusiasts are interested in,,,, Theatrical sites are popular sites M24,,,,

    Among the gamblers, the most widely read publications were the regional portals,,,, The most indifferent to gambling people read,,,, People interested in alcohol addiction rehabilitation choose,, and

    According to the interlocutor of Izvestia, data on the audience of certain resources are becoming increasingly valuable. There are companies that collect and sell this information. If someone else’s code is installed on the site, for example, to demonstrate the set of “share” buttons on social networks, information about the behavior of users on the site may be sent to the creators of this code. The data collected from several similar sites allow us to identify certain patterns in the behavior of a group of users with similar interests.

    However, the Ministry of Economic Development considers this data collection unsafe. The Office has prepared a draft order banning the use of Google Analytics, Piwic and other foreign traffic counters for web pages on official websites of government agencies.

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