Upload
burak-polat
View
298
Download
0
Tags:
Embed Size (px)
DESCRIPTION
This presentation is prepared for my "TV Ratings Got Social" paper with Prof. Dr. Cem S. Sutcü and presented at the V. European Conference on Social and Behavioural Sciences in St. Petersburg, Russia. Presentation consists of four main sections: 1. TV & TV Ratings 2. Social Media, TV & TV Ratings : Social Media TV Audience Measurement 3. Case Study on Muhteşem Yüzyıl (Magnificent Century) 4. Discussions & Further Research Topics
Citation preview
TV Ratings Got Social: a case study on famous turkish tv series Muhtesem Yuzyil
Cem SütçüBurak Polat
Marmara University, Faculty of Communication
Television Tèle [Greek]: Far ; Visio [Latin]: Sight
A telecommunication medium that is used for
transmitting and receiving moving images and sounds.
Daily basis Television Ratings begins.
19731926On January 23rd of 1926 John Logie Baird the Scottish Invertor, gave the world’s first public demonstration of a mechanical television device.
1941On July 1st of 1941 the first official, paid television advertisement was broadcast in United States of America.
On May 28th of 1928, first television station W2XB begins broadcasting in NY. – Foundation of CBS
1928
On June 27th of 1951, CBS began airing the first regularly-scheduled color television series; “The World Is Yours!” with Ivan T. Sanderson
19511963Television becomes the primary medium of getting news.
On March 3rd of 1971, TRT start to air advertisements.
19711968On January 31st of 1968, Turkish Radio and Television Corporation (TRT) started broadcasting.
20111100 of 2224 households’ information that has Peoplemeter is leaked. On December 20th of 2011, AGB Nielsen’s contract was canceled and TNS/Kantarmedya offically started the TV Ratings operations for Turkey.
1989AGB Nielsen started TV Rating operations in Turkey.
On August 4th of 1990, Magic Box Star 1 (Current name is Star TV) as the first private channel in Turkey, started to broadcast.
1990
Producers Broadcasters Advertisers
Needs to keep producing the content. (Survival)
Desires a raise in contract. (Growth)
Needs to keep broadcasting the content. (Survival)
Desires higher TV spot prices. (Growth)
Needs to achieve the brand’s objectives. (Survival)
Desires more consumers. (Growth)
RatingsRate; Reputare [Latin]: To count over, reflect
The estimated audience size of a particular television programme.1
A percentage measure of total households or population owning TVs who are turned to a particular program or station at specific time.2
Rating = Audience Tuned to Program / Total Population
Share = Rating / Total TV Audience
1Oxford Dictionary2Television Advertising Bureau
WhoWhatWhen
Essential concerns are
Reliablity&
Accuracy
Social MediaSocialis [Latin]: Living with others | Medius [Latin]: Intermediate agency
A digital new communication medium that is relatively
free of time and space boundaries and
open to interactivity.
Viewer Measurement in Social MediaVidere [Latin]: To see | Meteri [Latin]: Ascertaining spatial dimensions of
Gathering and analyzing the data of Social Media
for a TV Show according to selected metrics.
Viewer Measurement in Social MediaVidere [Latin]: To see | Meteri [Latin]: Ascertaining spatial dimensions of
1Defining the Objectives
2Selecting Metrics
3Gathering Data
4Analysis
5Review
Viewer Measurement in Social MediaVidere [Latin]: To see | Meteri [Latin]: Ascertaining spatial dimensions of
-Gathering Data from Social Media-
Client API RequestServer / Data Source
Embassy
RESPONSE
PassaportTraveller
Nielsen’s Twitter TV RatingOn December 17th of 2012, Nielsen announced an agreement with Twitter to create the “Nielsen Twitter TV Rating”.
A measure of the total activity and reach of TV
that is based entirely on Twitter data to1:
- Improve media planning and buying- Measure effectiveness- Identify true influencers
1Nielsen Social
Social Media TV Rating in Turkey
TwitterAn online social networking service
that enables users to send and read
short 140-character messages called “tweets”.
Twitter 101Username (@): The unique address of the user
Retweet (RT): Reposting a tweetMention: Replying a tweet with adding an username in the tweet
Hashtag (#) : Words and phrases with a ‘#” that is used to track conversations.Follow: Following an user
Trending Topics: Popular hashtags
Gathering Data from Twitter
The Metadata ListThe Screen Name of User
UsernameUser ID
Number of TweetsTweet’s Unique ID
Text in TweetCreation Date
ID of an existing tweet that the tweet is in reply toThe screen name & User ID of replied to tweet author
User BioUser URLLocation
Rendering InfoThe Creation Date of the Account
Whether the account has contributors enabledNumber of favorites user hasNumber of tweets user has
Number of users user followsNumber of user follows user
The time zone and offset for userThe user’s selected language
Whether a user has Verified badgeWhether a user is protected or not
Gathering Data from Twitter
The Metadata ListThe Screen Name of User
UsernameUser ID
Number of TweetsTweet’s Unique ID
Text in TweetCreation Date
ID of an existing tweet that the tweet is in reply toThe screen name & User ID of replied to tweet author
User BioUser URLLocation
Rendering InfoThe Creation Date of the Account
Whether the account has contributors enabledNumber of favorites user hasNumber of tweets user has
Number of users user followsNumber of user follows user
The time zone and offset for userThe user’s selected language
Whether a user has Verified badgeWhether a user is protected or not
CAN WE NOW USE
TWITTERTO CREATE
THE ULTIMATE TV RATING SYSTEM?
No.Nevertheless audience measurement on social media data is
complementary for TV Ratings.
Why?1
TV Ratings is based on demographic segmentation. Twitter does not have demographical data.
2Accuracy & Reliability of Data
Nevertheless1
Tweet frequency of a TV program in Twitter within a particular time span can be seen as complementary.
2Measuring the responses of social media users about a
particular TV Program can help producing better content and effective CRM.
&Twitter has a great Word-of-Mouth potential, understanding
behaviors of the users will support promoting the show.
Muhteşem Yüzyıl(Magnificent Century)
A prime-time historical Turkish soap opera television series based on Süleyman (Suleiman) the Magnificent, Sultan of Ottoman Empire from
1520 to 1566.
4 Seasons, 139 Episodes
75 Countries, 150 Million Viewers1
1Culture and Tourism Ministry Copyright Division
Data Provided by
Data Provided by
Case Study
19703 Tweets are gathered for Muhtesem Yuzyil’s last 4 episodes at the days the show aired from 20:00 to 00:00.
Date All Tweets Unique Tweets Users
21.05.2014 1152 710 943
28.05.2014 2494 1745 1950
4.06.2014 5746 3127 4487
11.06.2014 10311 5511 8288
Data Provided by
Case Study
19703 Tweets are gathered for Muhtesem Yuzyil’s last 4 episodes at the days the show aired from 20:00 to 00:00.
40%
60%
MaleFemale
Data Provided by
Case StudyContent Analysis on 21.06.2014
0
50
100
150
200
250
20:00 21:00 22:00 23:00 24:00
42% of the overall activity happened between 22:45 - 23:30 timespan.
Data Provided by
Case StudyContent Analysis on 21.06.2014
20:00 21:00 22:00 23:00 24:00
30% of the overall activity is directly related to the episode’s plot.
0
50
100
150
200
250
-0.80
-0.60
-0.40
-0.20
0.00
0.20
0.40
0.60
Data Provided by
Case StudyContent Analysis on 21.05.2014
20:00 21:00 22:00 23:00 24:00
R=0,3701 : Weak but positive correlation
Positiveness of TweetsFrequency of Tweets
Data Provided by
Case StudyContent Analysis on 21.05.2014
5% of the total users (47 users) created the 22% of the overall tweets. 14% of those users (5%) does not exist now. (Suspended or Frozen Accounts)
Data Provided by
Case StudyContent Analysis on 21.05.2014
5% of the overall tweets (60 tweets) constitute the 20% of the overall dataset.
Data Provided by
Case StudyContent Analysis on 21.05.2014
Declaration of Viewing [DoV](Başlamak, İzlemek, Zamanı, Keyfi) : 10% of overall content, mostly tweeted (23% of the overall DoV) at 20:45-21:00 timespan.
Tweets about Final Episode [TaF] : 8% of overall content, mostly tweeted between 23:10 to 23:30 timespan (54% of the overall TaF).
Strictly Irrelevant Contents to the TV Show Content:Spam Link : 2%
TV Rating Tweets: 7%Retweet Requests: 1%
Total: 10%
Data Provided by
Case StudyContent Analysis on 21.05.2014
ComplaintsMisinformation 28Language 14Negative Effect 12Plot 8Acting 6Advertisement 5Production 3Channel 1Total 77% of Unique Tweets 11%
ComplimentsSoundtrack 72Acting 66Plot 57Channel 4Total 199
% of Unique Tweets 28%
of the complaints are on defective reflection of the history. of the compliments are on the soundtracks of the show.
36%
Data Provided by
Case StudyContent Analysis on 21.05.2014
Tweets about the character that contains compliments for the actor:65% - Halit Ergenç (Sultan Süleyman)
17% - Aras Bulut İyinemi (Beyazıd)
Rank Characters Percentage1 Beyazid 33,91%2 Süleyman 18,70%3 Mustafa 13,04%4 Selim 7,39%5 Ebusuud 6,96%6 Hürrem 6,96%7 Mihrimmah 4,78%8 Rüstem 2,61%9 Fahriye 2,17%
10 Şah Sultan 1,74%11 Lala 1,30%12 Pargalı 0,43%
Twitter TV Ratings can not be seen as
the ultimate TV Rating system but it can be see as a complementary.
Why Twitter?
1The API
2Twitter users are most likely tend to share publicly
relative to other online social networks.
What kind of social media platform
will provide a reliable and accurate data
for ultimate audience measurement?
Peoplemeterto
Usermeter
The New Television
благодаря