A Typical Day With CrossStream

A Fictitious Example Of What We Would Like To Provide
  • face Dan is a journalist for the daily newspaper Hington Post. Today he has been given the task of writing an article about the migrants blocked in Hungary and update the web platform of the newspaper throughout the day. He knows that many of those migrants coordinate by using Social Networks, and he would like to follow what is happening in real-time.

  • The newspaper has bought a license for his own use to CrossStream, which provides social analytics in real-time and allows to correlate what is happening on the Social Web with the articles written locally in Hungary as well as around the UK and further. He would like to use the platform to monitor what is happening and to cite local Hungarian newspapers in some of his own articles. If he could get free content such as videos and pictures from people on the ground, it would be even better.

  • The Hington Post is a small daily newspaper from Hington, a small city in northern England. It does not have the resources to send journalists on the ground and to use freelancers is too expensive in most cases. Instead, they decided to rely on an electronic surveillance system on the Social Web, and they have chosen CrossStream.

  • computer Dan starts his day by buying a large coffee at the shop down the street before going to the office. He knows that the day is going to be long and that it will require all his attention. He launches his computer and connects it to the CrossStream Vault, and starts a new search using the keywords Hungary, migrants, Syria, refugees and thinks for a while, before adding Cameron, Europe and war as sub-keywords. He selects various sources, such as local newspapers in Hungarian and German, and adds Twitter and Facebook for local data. He sets the degree of alert to high: if a burst of social messages for one or more keywords occurs he will instantly receive a message on his phone. For each new article in the local newspapers, he would also receive an alert. Moreover, he sets up an alert for social content such as videos and pictures published on Twitter or Facebook which would receive a small amount of follow up. They will directly be sent to him.

  • Once the monitoring system has been set up, he decides to work on another subject: an article about the Arctic Sea that he has been writing since a few days. He knows that the day is going to be full of events: hundreds of migrants are awaited in Hungary main train stations this morning and all indicators from the previous days tell him that the Hungarian police is unprepared, and will most probably be overwhelmed. He will therefore not have to wait too long before being able to write articles shortly following the new outcomes of the story.

  • videocam At ten in the morning, a first video showing migrants crossing the border between Serbia and Hungary shows up in CrossStream's aggregation system. He quickly adds Serbia as a keyword to the search and hesitates a bit between writing a short article or posting a simple Twitter message. He goes for the second possibility and also comments the video, itself coming from Twitter. About fifty people retweet his message in the following half hour, which is not too bad for a local newspaper.

  • At noon, a burst of messages speaking about Hungary's main train station in Budapest, which is full of migrants from Syria seeking to go to northern European countries, occurs. By searching on the content feeds of CrossStream, he finds a local picture, most probably taken with a phone, which he uses to write a small article about the population's movements from Syria to Serbia, and then to Hungary. By looking into the feed for Police he finds a few articles from a local newspaper unhappy with the way the migrant's stream is handled, and he uses them as. He publishes the article and shares it on Twitter. By looking at the Sun's twitter feed, he sees that he is late of about a minute on them: an article speaking about the train station was published by the large newspaper a few seconds earlier. Its journalists probably had access to the same information, but were a bit quicker to draft it.

  • notifications Between two and four o'clock the alert system quickly goes mad with the refugees and migrants keywords, leaving Hungary far behind in people's concerns. The picture of a family of refugees rescued from a sinking ship in Greece is shared thousands of time around the world. Using CrossStream, he can isolate the reaction of local newspapers in Hungary and in Europe in general, as well as thoughts on Twitter. He uses the content provided in order to write an article about the way Hungary built a wall to prevent migrants to cross the country's borders, which forces refugees to cross the Mediterranean sea to go to Greece. He also cites a few articles from Greek newspapers, worried about the impact that the migrant flux could have on local tourism. He adds to his article a real-time graph picked on CrossStream – with personalized display mode and colors –, in order to let readers see the real-time evolution of the situation. As he still has to work on his second article, he leaves the search run by itself.

  • At five o'clock, he receives a more specific alert: a Twitter account monitored with a close look by CrossStream – following the settings he has entered himself – belonging to Angela Merkel shows that a tweet has been published, announcing that the chancellor would like to put in place an obligatory policy in Europe regarding the repartition of refugees from Syria's region, hence showing that the Dublin's regulation agreement does not work properly. He quickly draft out an article and publishes it, joining to it a special news feed coming from the Social Web about the reaction regarding the regulation's procedure. The feed uses sentiment analysis to clearly show in real-time that the procedure is largely criticized. By looking at UK newspapers on CrossStream, he his able to see that he might very well be the first to publish an article about the subject, even before the journalists present at the official press conference. He shares the article via Social Networks and realizes that the number of readers jumps, while his article is quickly mentioned by UK politicians. This is a good sign: the Hington Post is gaining in popularity!

  • map In order to measure the impact of his own article, he switches CrossStream to another monitoring mode to see who speaks about the newspaper. The platform provides an historical graph that he will be happy to show the next day at the daily meeting.

  • Dan leaves his work at six in order to go pick up his daughter at school. While driving home, he receives a new alert from CrossStream about the fact that the Hungarian police has started to block refugees in various train stations. Once at home, he jumps to his laptop and writes a few social messages about the subject and then drafts a more in-depth article, which will be published the next morning in the paper edition. He also adds pictures from the Social Web, both published by migrants and Hungarians and in the public domain. He sends it to his editor in chief, which is still at work to prepare the morning edition. He quickly receives a message telling him that the article will be use to make the headlines, and that it might be wise to use a map from CrossStream to show the social reactions and how deeply Europeans are concerned about the problems that the refugees pose.

  • He closes his laptop and pours himself a glass of wine and starts cooking: he is satisfied with his day!