Het dagelijkse lifestyle magazine BinnensteBuiten (NPO2) wordt ook weer in januari 2016 uitgezonden en uitgebreid met een weekendeditie met hoogtepunten van de week. Elke aflevering bestaat uit 3 onderdelen: een zelfgebouwd huis, een gezond recept en een groen onderdeel in de vorm van een natuurwandeling of een tuin make-over. Prachtig om te zien hoe mensen hun zelfgebouwde huis tonen aan de kijker, hoe mensen vertellen over bonen die ze kweken, en hoe een boswachter de natuur in detail laat zien. Allemaal verhalen vol van bezieling, passie en trots.
Huizenprogramma’s als tv-trend zijn begonnen met de make-over programma’s die er nog in grote aantallen zijn, gevolgd door ‘huizenjachten’, waarin makelaars mensen helpen te (ver)kopen, en de laatste jaren is er een dimensie bijgekomen: het zelf bouwen. Naast de KRO/NCRV met BinnensteBuiten valt op dat vooral SBS6 zelfbouwprogramma’s uitzendt, zoals Je eigen droomhuis waarin het proces wordt gevolgd.
Engeland heeft al jarenlang zelfbouwprogramma’s. C4 zendt al 15 jaar lang Grand designs uit. Het programma is wereldwijd verkocht en is in Nederland te zien als De grote verbouwing (SBS6). Hierin gaat het om grote bouwprojecten waarin bewoners zelf hun architectonisch verantwoord huis bouwen waarin het gaat om stijl en design. Een tegenovergestelde vorm van zelfbouw is te zien in het andere C4 programma’s Amazing Spaces (sinds 2007). Hierin volgt presentator George Clarke mensen die een gebouw of iets geheel anders zoals een oude touringcar ombouwen tot een eigen woning. Het gaat hier juist om kleine ruimtes die zo efficiënt mogelijk worden verbouwd. Net als de bijzondere ruimtes zijn de verhalen ook ‘amazing’.
In de VS zendt HGTV al 15 jaar Extreme homes uit. Hierin worden bijzondere woningen over heel de wereld getoond aan de kijker, zoals ook een Nederlandse woonboot. Nu is de Tiny House Movement in opkomst daar, voor mensen die zich minder willen binden en/of willen minimaliseren. Sinds 2014 worden in Tiny House Nation en Tiny House Hunting (beide te zien op FYI) mensen geholpen kleiner te gaan wonen of een tiny house als vakantiewoning willen hebben. Het expert team van bouwers maakt hun droom waar.
De droom, de initiatieven, het eigen ontwerp, de natuurlijke materialen en de beeldende verhalen maken dit soort huizenprogramma’s boeiend. De programma’s sluiten aan bij de huidige trends als ambachtelijk, energieneutraal en hergebruik. Daarnaast sluit de snelle/kleine woningbouw aan bij maatschappelijke ontwikkelingen, nodig voor starters, vluchtende mensen uit oorlogsgebieden, en de oudere medemens die langer voor zichzelf moet zien te zorgen. Van ons mogen er in 2016 nog veel voorbeelden volgen op televisie.
Agnes Dijker
Charles Vaneker
Videoclips bij deze blog
Wednesday, December 23, 2015
Thursday, April 30, 2015
Traditional television networks: from instinct to content marketing
Big data is trending topic in the world of digital media. A search on the internet yields almost 700 million hits. So something must be going. Many media conferences have been devoted to the subject. Recently the Immovator conference in Hilversum The Netherlands – at April 23th 2015 – presented 7 cases about big data and media. But in fact most of the cases dealt with small data.
The reason for the confusion is the different interpretation of the big data concept. Technical bloggers like Andrew Brust (2012)mostly point out that big data is “all about the technologies and practice of handling data sets so large that conventional database management systems cannot handle them efficiently, and sometimes cannot handle them at all.”
But this is not what big data in the media context is about. In the media context big data can better be approached as digital trails which are left behind by all types of users at social media like Twitter and Facebook, streaming media sites as Youtube, Multi Channel Networks, Netflix, RTL-XL and digital media boxes (Green,2015). So it is about scalable systems of unstructured data with accompanied tools that can pull structured data (Konkel,2013) and can be used for predictive analyses on media behavior. The cases presented at the conference were examples of new developed tools/methods for analyzing different (combinations of) digital trails of media user data.
The Immovator conference offered insights about the change in strategy of traditional broadcast networks in The Netherlands.
First of all the content strategy is becoming data driven. It means that tv-format creation will no longer be based on instinct but on media trail data. RTL Nederland showed that content intelligence will be part of the future content strategy of the network. The data of the different streaming video platforms like RTL-XL, RTL Multi Channel Network and NL ziet will be used for new predictive analysis. The data can help the television eco system to derive their next hit, like the decision of Netflix to commission the production of the House of Cards format. Analysis of the Netflix platform data showed a large potential viewers interested in Kevin Spacey, David Fincher and BBC political drama. So Netflix commissioned the production the House of Cards series to Beau Willimon.
The data of the streaming platforms can also provide information about actors (image recognition data), narratives (subtitling data) and themes which drive viewing behavior and could influence the future production of tv-formats and decisions for the purchase of foreign fiction and non-fiction.
Second, media trail data will play a more important role in the promotion of program related content. Dutch pubcaster BNN/VARA analyses the online platform data to match the posting of content by the editors with the user activity on the social media platform. The graph shows discrepancy in time slot between supply and demand of social media content (format De Wereld Draait Door). The social media content is provided far before the user activity on the social media.
The conclusion is that traditional broadcasters are adapting the content strategy of many Video content channels like Netflix and Youtube and use data for decisions about production, creation, promotion and buying of content. It’s the first step from instinct to content marketing.
Charles Vaneker
References
Brandon, J. (2014). How ‘Big Data’ could help TV networks make better shows. Retrieved 30-04-2015, from http://www.foxnews.com/tech/2014/10/01/how-big-data-could-help-tv-networks-make-better-shows/
Brust, A. (2012). Big Data: Defining its definition. Retrieved 30-04-2014, 2012, from http://www.zdnet.com/article/big-data-defining-its-definition/
Green, A. (2015). Big data and audience measurement. Retrieved 30-04-2015, 2015
Hawkins, S. (2015). 4 Ways Big Data will impact television and film. In Mediasilo. Vol. 2015.
Konkel, F. (2013). Defining Big Data. Retrieved 30-04-2015, 2015, from http://fcw.com/blogs/conversation/2013/04/defining-big-data.aspx
Mandese, J. (2014). From the 'Big 3' To 'Big Data:' TV audience targeting comes of age. Retrieved 30-04-2015, 2015, from http://www.mediapost.com/publications/article/216768/from-the-big-3-to-big-data-tv-audience-target.html
The reason for the confusion is the different interpretation of the big data concept. Technical bloggers like Andrew Brust (2012)mostly point out that big data is “all about the technologies and practice of handling data sets so large that conventional database management systems cannot handle them efficiently, and sometimes cannot handle them at all.”
But this is not what big data in the media context is about. In the media context big data can better be approached as digital trails which are left behind by all types of users at social media like Twitter and Facebook, streaming media sites as Youtube, Multi Channel Networks, Netflix, RTL-XL and digital media boxes (Green,2015). So it is about scalable systems of unstructured data with accompanied tools that can pull structured data (Konkel,2013) and can be used for predictive analyses on media behavior. The cases presented at the conference were examples of new developed tools/methods for analyzing different (combinations of) digital trails of media user data.
The Immovator conference offered insights about the change in strategy of traditional broadcast networks in The Netherlands.
First of all the content strategy is becoming data driven. It means that tv-format creation will no longer be based on instinct but on media trail data. RTL Nederland showed that content intelligence will be part of the future content strategy of the network. The data of the different streaming video platforms like RTL-XL, RTL Multi Channel Network and NL ziet will be used for new predictive analysis. The data can help the television eco system to derive their next hit, like the decision of Netflix to commission the production of the House of Cards format. Analysis of the Netflix platform data showed a large potential viewers interested in Kevin Spacey, David Fincher and BBC political drama. So Netflix commissioned the production the House of Cards series to Beau Willimon.
The data of the streaming platforms can also provide information about actors (image recognition data), narratives (subtitling data) and themes which drive viewing behavior and could influence the future production of tv-formats and decisions for the purchase of foreign fiction and non-fiction.
The conclusion is that traditional broadcasters are adapting the content strategy of many Video content channels like Netflix and Youtube and use data for decisions about production, creation, promotion and buying of content. It’s the first step from instinct to content marketing.
Charles Vaneker
References
Brandon, J. (2014). How ‘Big Data’ could help TV networks make better shows. Retrieved 30-04-2015, from http://www.foxnews.com/tech/2014/10/01/how-big-data-could-help-tv-networks-make-better-shows/
Brust, A. (2012). Big Data: Defining its definition. Retrieved 30-04-2014, 2012, from http://www.zdnet.com/article/big-data-defining-its-definition/
Green, A. (2015). Big data and audience measurement. Retrieved 30-04-2015, 2015
Hawkins, S. (2015). 4 Ways Big Data will impact television and film. In Mediasilo. Vol. 2015.
Konkel, F. (2013). Defining Big Data. Retrieved 30-04-2015, 2015, from http://fcw.com/blogs/conversation/2013/04/defining-big-data.aspx
Mandese, J. (2014). From the 'Big 3' To 'Big Data:' TV audience targeting comes of age. Retrieved 30-04-2015, 2015, from http://www.mediapost.com/publications/article/216768/from-the-big-3-to-big-data-tv-audience-target.html
Tuesday, January 6, 2015
Tv-trend: 'dating experiments’ popular in 2014 get sequel in 2015
In 2014 dating shows were once again a tv-trend and probably that will also be the case in 2015. Last year many networks aired so called social experiment dating shows. This development was probably caused by the rise of popular dating sites that link people based on all kinds of computer algorithms. Where the traditional dating shows start by getting to know each other and end up with kissing, sex and marriage, the social experimental dating shows reverse this. Most of the new formats start e.g. with kissing, naked bodies, scientific matches or marriage, and end up with knowing each other. An important question to be answered for the dating shows: is a first impression or computer match a correct predictor of a good relationship?
First the match
MTV format Are you the one? (USA, Jan.2014) added many new elements to the traditional dating format. The candidates have to ascertain whether their own choice for a partner corresponds to that of the computer. The most exciting part is that during every episode the candidates have to predict whether their own choice matches the computer’s choice. The only information candidates get is the number of correct matches but not with whom. Furthermore, it appears to be difficult to figure out which candidate matches, because sometimes various candidates fit the same profile.
In Love Prison (USA, A&E, Sept.2014) online matched couples have to find out whether there is a match in real life. After staying together on an island for a week the couples decide to break up or stay together.
First the kiss
In Love at first kiss (Netherlands, NPO3, Oct.2014) the social experience of a first kiss determines whether there will be a sequel in the form of a speed date. At the start of the program the persons approach each other, start kissing and make independent from each other the decision for a follow-up meeting. If both candidates agree to meet again, one of them enters a room where the other candidate is waiting. It’s an thrilling moment whether the door will open or not. If this is the case the candidates get 2 minutes to talk and decide to date. The kiss moments usually last an eternity and puts the viewer to the test: mostly makes the viewer feel a bit awkward.
First marry or engage
Married at first sight (Denmark DR3 2013) is another version of a social experiment dating show. First a team of experts match 6 single people who marry total strangers. After 6 weeks of marriage they decide to stay or separate. This show has a double-barreled option: a match plus wedding before getting acquainted. The series in Denmark was so successful that the channel management decided to move next series to main channel DR1.
In 2014 the format was picked up in different territories, like in the USA by channel FYI. In the Netherlands RTL4 wanted to air the dating show, but competing channel Net5 aired a rip-off with a twist called Het geheim van een goed huwelijk (The secret of a good marriage, Sept.2014). The added element consisted of a comparison between the experimental group (of the program) and a regular married group concerning the duration of the relationship. After just 6 episodes the program was taken of air because of the disappointing ratings.
A comparable format at American channel TLC titled 90 Days fiancé (May, 2014) added a time pressure element. This international dating experiment follows couples with a partner from abroad, who have to decide to marry before their 90 days visa expires. They have to overcome language barriers, learn to cope with friends and family and finally have to decide to marry or send the fiancé home.
First meet naked
In Adam zkt Eva (Adam looking for Eva, Netherlands, RTL5, March 2014) already matched couples for a date meet each other naked at a deserted island disconnected to the outside world. If the couples feel attracted to each other at the first confrontation they depart to a tropic resort. As in American format Dating Naked (USA, VH1, July 2014) two naked persons meet at an island but they are also confronted with other possible dates. At the end of week the candidates choose their favorite person to go home with. The naked dating concepts perform well on television, both programs will return in a second season. The series will also debut with the title Adam sucht Eva-Gestrandet im Paradies at the German channel RTL-Television in 2015.
Interactive dating show
Dutch channel SBS6 also launched a social experiment dating show in 2014 called Is this Love?. This dating format isn’t structured the other way around like the formats mentioned above. Is this Love is an interactive dating show in which singles (living in a villa and followed 24/7 at live streams) are dating online in a sort of ‘The great Dutch date-off’. The program was cancelled because of lack of interest. Probably this dating show wasn’t surprising enough.
One can conclude that ‘dating with a twist’ will stay popular in 2015. The American channel Bravo already announced the launch of the format Friend to lovers about people dating their best friends: will the relationship survive? So keep up with this trend in 2015!
(Videoclips to this blog )
Agnes Dijker
Charles Vaneker
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