Hand drawn social mia icons in black & whiteThere are always many conversations with sentiment on social mia on social mia all the time . Sentiment that does not always come across well in classical research,
Social mia is non-stop (a continuous stream of data).
Most of the information is unsolicit (people feel they have to bring something into the world. This can be more sincere, turkey phone number libraryand also provides insight into what people are concern about, without you having thought that you should have ask a question about it).
Social is uninhibit .
Provides a lot of insight into what people experience and want to share
Interaction : not achievable in quantitative research, on a limit qualitative level. What happens offline, now also happens online. This applies to almost every subject. In the past, you had to go to the football club or to the café to have a serious conversation, but now that happens just as much online.
One disadvantage: it is quite uncontroll . Steering the debate is not possible, so it is difficult to retrieve information that might be interesting to you.
Research communities in the lab
Given the fact that social mia are uncontroll, Blauw research has brought this environment to a lab session and creat so-call research communities. Respondents can talk about a defin topic on an online platform. For example, with members of the ANWB, or women about the Etos. In practice, people appear try again some of the things that to be very interest in participating in such a community and giving their opinion on a topic as a customer.
Pioneering with Twitter’s big dataAt least not in this order
Piet Daas is pioneering at CBS with big data that he collects from Twitter. He does admit that they are just doing search engine optimization mails something: they are still working on a big data methodology. Piet shows that they have classifi 12 million messages on Twitter, from 330,000 users, according to the 12 themes that CBS reports on.
