Armin van BuurenBut someone can also have two followers, one of whom is @ArminvanBuuren . A retweet from him immediately means a larger reach, but what influence this has is another question. It is estimated that the vast majority of tweets are not read by everyone who follows a tweeter, simply because people are not always logged in, do not read everything or because the flow of information is too great. There are already programs that allow you to see who was online at the time of an incident, but here too it is not possible to say with certainty that they have read the messages.
There are various tools available to analyse the reporting on and the use of social media. Some well-known ones are Coosto , Obi4Wan and Twitcident . These tools analyse (Dutch) sources and (Dutch) messages on social media in their own way. Using these tools, you can search specifically for relevant words and smart combinations of words that are related to a certain event or that were placed in a certain period. Then, through further analysis of the results, you can search more and more specifically until the most relevant results remain.
In the research we did for Police & Science, this manual work was very important, because the almost automatic analysis of Coosto did not yield the required quality. The interpretation and interpretation of the research data remains human work. As an example, the influence score of a user on Twitter. Coosto determines this based on namibia phone data someone's activity on Twitter and in particular the degree of interaction (dialogue) between the author and other authors. This score starts at zero (no influence) and can run into the thousands (which is highly unusual).
Influence Score
coostoThe influence score can change over time. For example, if someone becomes less active on Twitter, their influence score will slowly decrease. Coosto therefore measures how many people will talk to you when you publish a tweet, or how many participate in an ongoing discussion. In addition, influence is a dynamic concept: it moves up and down over time. Some messages encourage more dialogue than others, because they appeal to more people or, for example, because they are about a current social topic.
In short: the influence score gives an indication of how many people are actually reached and how many people are encouraged to discuss. Coosto measures this over time based on more than 40 million Dutch tweets per month. This is the first version of the influence calculations. It is not the holy grail, but it is based on hard data and figures. The exact formula for how the influence and reach scores are calculated is not publicly known and is a trade secret of the owner of the monitoring tool Coosto. This reach score and influence score must therefore be seen as an indication that is based on hard data, but cannot be scientifically tested.
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