Twitter Entertainment Statistics

In this section, you can find all of the Entertainment Twitter Accounts. Entertainment is an activity created to amuse or interest an audience. There are two types of entertainment - passive and active. Passive entertainment is an activity in which the audience is usually watching (e.g. movie, ballet, or TV show). Active entertainment means that the audience is actively interacting to entertain themselves (e.g. playing board games or singing a song). If you would like to gain valuable insight about a specific entertainment Twitter Account, please use our Twitter monitoring tool.

You can arrange the statistics according to the number of ‘Followers’, or according to the number of users they are ‘Following’. Use this information to better understand how your audience engages, assess your Twitter marketing strategies, and further optimize your Tweets. Find your key Followers, monitor engagement, the change of Followers and your Follower/Following ratio. Enhance your Twitter identity, increase engagement rates, and create insightful graphical reports using Analytics PRO. With these tools you can form the best possible Tweets and receive the largest return on investment.

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Fastest Growing Profiles

5 fastest growing Twitter profiles last day.
Name	Followers
Ellen DeGeneres	+14 090
Selçuk Erdem	+8 223
The X Factor	+7 037
The Voice	+7 030
DiezelSun	+6 363

5 fastest growing Twitter profiles last week.
Name	Followers
Ellen DeGeneres	+133 566
The Voice	+62 062
Selçuk Erdem	+43 139
Official Big Brother	+42 477
Arab Idol	+42 104

5 fastest growing Twitter profiles last month.
Name	Followers
Ellen DeGeneres	+661 092
Arab Idol	+200 413
The Voice	+186 815
The X Factor	+158 264
MYX Philippines	+134 504

Twitter profiles statistics.
#	Profile	Following ↓	Followers ↓	Rating
1.	Ellen DeGeneres (@TheEllenShow)	46858	20000148	Worst 0 1 2 3 4 5 6 7 8 9 10 Best
2.	Programa Pânico (@programapanico)	7071	7423023	Worst 0 1 2 3 4 5 6 7 8 9 10 Best
3.	Funny Or Die (@funnyordie)	4034	6243487	Worst 0 1 2 3 4 5 6 7 8 9 10 Best
4.	SportsCenter (@SportsCenter)	1316	5319220	Worst 0 1 2 3 4 5 6 7 8 9 10 Best
5.	BET's 106 & Park (@106andpark)	509	5137312	Worst 0 1 2 3 4 5 6 7 8 9 10 Best
6.	Legendários (@Legendarios)	57	4816412	Worst 0 1 2 3 4 5 6 7 8 9 10 Best
7.	Fantástico (@showdavida)	35	4547756	Worst 0 1 2 3 4 5 6 7 8 9 10 Best
8.	UberFacts (@UberFacts)	2	4358235	Worst 0 1 2 3 4 5 6 7 8 9 10 Best
9.	cinema21 (@cinema21)	142	3862584	Worst 0 1 2 3 4 5 6 7 8 9 10 Best
10.	Denny Ch Pratama (@pepatah)	189	3662691	Worst 0 1 2 3 4 5 6 7 8 9 10 Best
11.	The X Factor (@TheXFactor)	27339	3420344	Worst 0 1 2 3 4 5 6 7 8 9 10 Best
12.	Portal R7.com (@portalR7)	178	2657223	Worst 0 1 2 3 4 5 6 7 8 9 10 Best
13.	MYX Philippines (@MYXphilippines)	490	2349714	Worst 0 1 2 3 4 5 6 7 8 9 10 Best
14.	someecards (@someecards)	527	2171919	Worst 0 1 2 3 4 5 6 7 8 9 10 Best
15.	GLEE (@GLEEonFOX)	581	1984591	Worst 0 1 2 3 4 5 6 7 8 9 10 Best
16.	Great Minds Quotes (@GreatestQuotes)	245181	1971603	Worst 0 1 2 3 4 5 6 7 8 9 10 Best
17.	Disney (@Disney)	36	1848857	Worst 0 1 2 3 4 5 6 7 8 9 10 Best
18.	9GAG (@9GAG)	7	1799626	Worst 0 1 2 3 4 5 6 7 8 9 10 Best
19.	TODAY (@todayshow)	7643	1743730	Worst 0 1 2 3 4 5 6 7 8 9 10 Best
20.	Pensamientos (@FraseSimple)	317	1731055	Worst 0 1 2 3 4 5 6 7 8 9 10 Best
21.	The Voice (@NBCTheVoice)	1933	1588445	Worst 0 1 2 3 4 5 6 7 8 9 10 Best
22.	The Big Bang Theory (@BigBang_CBS)	39	1558054	Worst 0 1 2 3 4 5 6 7 8 9 10 Best
23.	The Walking Dead AMC (@WalkingDead_AMC)	311	1510594	Worst 0 1 2 3 4 5 6 7 8 9 10 Best
24.	The Beatles (@thebeatles)	414117	1454011	Worst 0 1 2 3 4 5 6 7 8 9 10 Best
25.	#Sarcasmo (@iSarcasmos)	84387	1385613	Worst 0 1 2 3 4 5 6 7 8 9 10 Best
26.	Kibe Loco (@kibeloco)	600	1371489	Worst 0 1 2 3 4 5 6 7 8 9 10 Best
27.	El Hormiguero (@El_Hormiguero)	375	1360989	Worst 0 1 2 3 4 5 6 7 8 9 10 Best
28.	World Facts (@Factsionary)	167	1303809	Worst 0 1 2 3 4 5 6 7 8 9 10 Best
29.	Call of Duty (@CallofDuty)	2079	1210211	Worst 0 1 2 3 4 5 6 7 8 9 10 Best
30.	Homer J. Simpson (@HomerJSimpson)	13	1142128	Worst 0 1 2 3 4 5 6 7 8 9 10 Best
31.	Twitter Movies (@TwitterMovies)	145	1124306	Worst 0 1 2 3 4 5 6 7 8 9 10 Best
32.	MTV Brasil (@MTVBrasil)	2046	1122119	Worst 0 1 2 3 4 5 6 7 8 9 10 Best
33.	Summer 2013! (@SummerCodes)	22	1054862	Worst 0 1 2 3 4 5 6 7 8 9 10 Best
34.	NotFollow.me (@NotFollowMe1)	62855	1039574	Worst 0 1 2 3 4 5 6 7 8 9 10 Best
35.	Selçuk Erdem (@selcukerdem)	174	1036853	Worst 0 1 2 3 4 5 6 7 8 9 10 Best
36.	GoogleFacts (@GoogleFacts)	0	1036271	Worst 0 1 2 3 4 5 6 7 8 9 10 Best
37.	Cinemex (@Cinemex)	61	1033946	Worst 0 1 2 3 4 5 6 7 8 9 10 Best
38.	Because I'm a Guy (@CauseWereGuys)	0	979019	Worst 0 1 2 3 4 5 6 7 8 9 10 Best
39.	Cinépolis (@Cinepolis)	22420	970183	Worst 0 1 2 3 4 5 6 7 8 9 10 Best
40.	Steve Stifler (@SteveStfler)	161	944151	Worst 0 1 2 3 4 5 6 7 8 9 10 Best
41.	Smithsonian (@smithsonian)	150	920836	Worst 0 1 2 3 4 5 6 7 8 9 10 Best
42.	Top Gear (@BBC_TopGear)	1918	910530	Worst 0 1 2 3 4 5 6 7 8 9 10 Best
43.	Saatchi Gallery (@saatchi_gallery)	104566	901021	Worst 0 1 2 3 4 5 6 7 8 9 10 Best
44.	Анекдоты из России (@anekdotru)	1	898767	Worst 0 1 2 3 4 5 6 7 8 9 10 Best
45.	EA SPORTS FIFA (@EASPORTSFIFA)	173	867097	Worst 0 1 2 3 4 5 6 7 8 9 10 Best
46.	bem fudidex (@iEsquilo)	41	852134	Worst 0 1 2 3 4 5 6 7 8 9 10 Best
47.	SMTOWN GLOBAL (@SMTOWNGLOBAL)	26	847019	Worst 0 1 2 3 4 5 6 7 8 9 10 Best
48.	IGN (@IGN)	393	841997	Worst 0 1 2 3 4 5 6 7 8 9 10 Best
49.	Tetris Battle (@tetrisbattle)	1903	824564	Worst 0 1 2 3 4 5 6 7 8 9 10 Best
50.	Duck Dynasty (@DuckDynastyAE)	221	821634	Worst 0 1 2 3 4 5 6 7 8 9 10 Best

Glossary

Current Twitter statistics

Here you can see the statistics of the top Entertainment accounts for the year 2013. Take a look at the profiles that have the most ‘Followers’ on Twitter. Currently, the Top Twitter Gainer is Ellen DeGeneres and the Top Growing profile is Ellen DeGeneres. If you would like to monitor a specific Twitter profile, please use our Twitter monitoring tool.

What is a Twitter Account?

A Twitter account is a user profile on Twitter where its users can microblog. They can share their thoughts, news, information or ideas in 140 characters or less. These profiles are usually public, which means that everyone has access to what you have Tweeted or Retweeted, unless you choose to make your account private. Users can Follow your account (this means subscribing to your posts), and you can Follow other users as well. In your Tweets, you have the option of mentioning other users using the ‘@’ symbol. You can also use a hastag (e.g. #Twitter, #Olympics, etc) to increase the likelihood that your tweet will be seen by other users who are searching that particular hashtag. Hashtags are used to generate trends and increase the virality of a topic. Learn more »

What is Twitter monitoring?

Twitter monitoring (also known as social media research), is usually related to the use of automatic Twitter analytics tools, which bring surveillance research to public attention and process gathered data. There are two types of Twitter monitoring – passive and active. Passive Twitter monitoring can be paying attention to what people say to discover Twitter users’ preferences, hobbies, etc. Active Twitter monitoring is searching for links to specific brands, businesses, media, etc. Twitter analytics tools (social networking analytics services) can offer you various user insights and statistics. Learn more »

What is the process of Twitter accounts monitoring?

Twitter monitoring is used for analysis of your Twitter accounts, as well as accounts of your competition. It is used like Google Analytics, but for your Twitter accounts. You can observe your growing number of Followers, gain valuable insights into current audience characteristics, and harness this data to identify new target audiences for Twitter advertising campaigns. Moreover, you can view Followers’ statistics in an accommodating dashboard that compares demographics, trends and top interests based on user activity across the Twitter community. You can also filter the data according to different markets, or according to different demographic data. Learn more »