But of course there is a story in such a tweet for a journalist. You can also wait until the topic becomes 'trending', then it is more likely that it will actually become a news story. However, it is more convenient to be able to filter news from tweets before it becomes 'trending' and thus have a scoop as a journalist.
RTreporter filters the tweets
Since 2010, the Persinnovatie-fonds stimulates journalistic innovations. In the first year, RTreporter received a hundred thousand euros to develop the current version of the tool. In June 2013, RTreporter received another hundred thousand euros in project subsidy from the fund to develop the system of language technology (semantics), which can be used in RTreporter. It is a collaboration project between the Vrije Universiteit Amsterdam ( Faculty of Exact Sciences ) and Ccinq (part of Ortec).
What does RTreporter do?
RTreporter helps a journalist (national, regional or local) find news. RTreporter looks poland mobile phone number list at Twitter for messages that deviate. In any case, you can ignore 80% of the Twitter traffic, these are messages that are only important or even understandable for a few or a group of people. Think of the previously mentioned “Fat sick man tweets”. These are filtered out. What remains are tweets that have more meaning, but can actually also be 'normal'. If Ajax is playing or The Voice of Holland (#TVOH) is on television, it is understandable that many tweets appear about this or that these topics even become 'trending'.
Despite the fact that 'trending' indicates that many people are talking about the topic, it may not be news yet. In addition, it is actually too late for a journalist because there is already a lot of communication about the topic. It is not a scoop that they can bring first.
What RTreporter is looking for is a potentially newsworthy message that you don't expect. And by not expected, I mean: that you don't expect at that moment. Imagine that The Voice of Holland will not return to television next season (a blessing according to some). Such a message is spread on Monday morning, for example. At that time, there are normally not that many #TVOH messages. This message will then be followed because it stands out. Suppose the tweet reads "The Voice of Holland will disappear from the air next season". By using the keywords 'disappears' and 'The Voice of Holland', the tweet is monitored and will stand out if it gets enough traffic. Suddenly, tweets will quickly appear that also report this message.