Cashin’ In dominates the conversation on Cable News Twitter on Saturday, 3/28/15

It’s Saturday, and so it’s Cashin’ In that’s going to win.  The only question left is who’s jockeying for the distant runner up positions.  Saturday’s also-rans were both hours of the Melissa Harris-Perry Show, Judge Jeanine (who got a shout out on Saturday Night Live last night), and Red Eye:

click to enlarge

click to enlarge

The spike for Cashin’ In speaks for itself, but I’ll point out that during the 11 am hour (Cashin’ In runs from 11:30 to noon), Cashin’ got more mentions – just in that one hour – than Melissa Harris-Perry and Up with Kornacki got, combined, through the entire 24 hours of Saturday. Those two shows had 5405 mentions total for the entire day, while Cashin’ had 5411 mentions in just the 11am hour.

Raw data: 2015-03-28-ShowStats.csv

Note that all times are US Eastern Time. See notes at end for further explanations. For earlier articles on cable news twitter ratings, please see this.

Cable News Twitter Ratings for 2015-03-28

Top Shows for the day:

Category Mentions Show
Most Mentions During Hour 5411 Fox News: Cashin In
Most Mentions During Day 30218 Fox News: Cashin In

Ratings for individual time slots

Ratings for 12 am

Network Show Twts Hour Twts Day UT Hour UT Day Reach Male Female
Fox News The Kelly File 130 872 101 593 3,462,318 62% 38%

Ratings for 1 am

Network Show Twts Hour Twts Day UT Hour UT Day Reach Male Female
Fox News Hannity 198 6,701 145 3,980 40,228,547 61% 39%

Ratings for 2 am

Network Show Twts Hour Twts Day UT Hour UT Day Reach Male Female
Fox News On The Record w/Greta Van Susteren 119 3,423 87 2,348 8,292,417 53% 47%

Ratings for 3 am

Network Show Twts Hour Twts Day UT Hour UT Day Reach Male Female
CNN CNN International 224 3,922 197 2,962 97,018,249 60% 40%
Fox News RedEye 872 2,260 143 1,004 7,173,251 65% 35%

Ratings for 4 am

Network Show Twts Hour Twts Day UT Hour UT Day Reach Male Female
CNN CNN International 99 3,922 93 2,962 97,018,249 60% 40%
Fox News The Kelly File 19 872 15 593 3,462,318 62% 38%

Ratings for 5 am

Network Show Twts Hour Twts Day UT Hour UT Day Reach Male Female
CNN CNN International 365 3,922 322 2,962 97,018,249 60% 40%
Fox News Hannity 74 6,701 58 3,980 40,228,547 61% 39%
MSNBC Your Business (5:30) 0 14 0 13 39,721 20% 80%

Ratings for 6 am

Network Show Twts Hour Twts Day UT Hour UT Day Reach Male Female
CNN New Day 26 487 22 389 2,785,647 57% 43%
Fox News Fox and Friends Weekend 29 698 19 376 7,764,274 53% 47%
MSNBC The Rachel Maddow Show 12 893 10 645 2,827,636 50% 50%

Ratings for 7 am

Network Show Twts Hour Twts Day UT Hour UT Day Reach Male Female
CNN New Day 54 487 36 389 2,785,647 57% 43%
Fox News Fox and Friends Weekend 78 698 66 376 7,764,274 53% 47%
MSNBC Weekends w/Alex Witt 8 77 8 51 314,096 55% 45%

Ratings for 8 am

Network Show Twts Hour Twts Day UT Hour UT Day Reach Male Female
CNN New Day 50 487 35 389 2,785,647 57% 43%
Fox News Fox and Friends Weekend 131 698 77 376 7,764,274 53% 47%
MSNBC Up w/Steve Kornacki 447 1,686 180 682 8,376,835 54% 46%

Ratings for 9 am

Network Show Twts Hour Twts Day UT Hour UT Day Reach Male Female
CNN Smerconish 76 197 43 124 493,516 62% 38%
Fox News Fox and Friends Weekend 93 698 59 376 7,764,274 53% 47%
MSNBC Up w/Steve Kornacki 661 1,686 278 682 8,376,835 54% 46%

Ratings for 10 am

Network Show Twts Hour Twts Day UT Hour UT Day Reach Male Female
CNN News Room 6 54 5 36 99,911 68% 32%
Fox News Bulls and Bears 137 200 67 91 2,513,012 75% 25%
Fox News Cavuto On Business 389 957 249 685 4,867,120 62% 38%
MSNBC Melissa Harris-Perry Show 1,453 3,719 528 1,333 11,927,305 41% 59%

Ratings for 11 am

Network Show Twts Hour Twts Day UT Hour UT Day Reach Male Female
CNN News Room 2 54 2 36 99,911 68% 32%
Fox News Forbes on Fox 116 206 76 146 2,490,460 71% 29%
Fox News Cashin In 5,411 30,218 1,797 10,305 228,476,781 57% 43%
MSNBC Melissa Harris-Perry Show 1,244 3,719 477 1,333 11,927,305 41% 59%

Ratings for 12 pm

Network Show Twts Hour Twts Day UT Hour UT Day Reach Male Female
CNN News Room 3 54 2 36 99,911 68% 32%
Fox News America’s News HQ 72 385 51 276 12,215,878 68% 32%
MSNBC Weekends w/ Alex Witt 21 77 18 51 314,096 55% 45%

Ratings for 1 pm

Network Show Twts Hour Twts Day UT Hour UT Day Reach Male Female
CNN News Room 6 54 5 36 99,911 68% 32%
Fox News America’s News HQ 37 385 26 276 12,215,878 68% 32%
MSNBC Weekends w/Alex Witt 15 77 13 51 314,096 55% 45%

Ratings for 2 pm

Network Show Twts Hour Twts Day UT Hour UT Day Reach Male Female
CNN News Room 1 54 1 36 99,911 68% 32%
Fox News WSJ Editorial Report (2pm) 12 14 5 6 15,038 100% 0%
Fox News America’s News HQ (2:30) 38 385 36 276 12,215,878 68% 32%

Ratings for 3 pm

Network Show Twts Hour Twts Day UT Hour UT Day Reach Male Female
CNN News Room 0 54 0 36 99,911 68% 32%
Fox News America’s News HQ 16 385 15 276 12,215,878 68% 32%

Ratings for 4 pm

Network Show Twts Hour Twts Day UT Hour UT Day Reach Male Female
CNN News Room 9 54 6 36 99,911 68% 32%
Fox News America’s News HQ 47 385 43 276 12,215,878 68% 32%

Ratings for 5 pm

Network Show Twts Hour Twts Day UT Hour UT Day Reach Male Female
CNN News Room 2 54 2 36 99,911 68% 32%
Fox News The Five 38 412 31 279 1,797,517 59% 41%
Fox News The Five w/Hosts 306 9,821 195 4,832 74,792,728 58% 42%

Ratings for 6 pm

Network Show Twts Hour Twts Day UT Hour UT Day Reach Male Female
CNN Smerconish 39 197 24 124 493,516 62% 38%
Fox News America’s News HQ 49 385 42 276 12,215,878 68% 32%

Ratings for 7 pm

Network Show Twts Hour Twts Day UT Hour UT Day Reach Male Female
CNN News Room 2 54 2 36 99,911 68% 32%
Fox News Fox Report Weekend 8 115 8 101 554,382 74% 26%

Ratings for 9 pm

Network Show Twts Hour Twts Day UT Hour UT Day Reach Male Female
Fox News Judge Jeanine 1,057 1,656 628 980 8,255,101 60% 40%

Ratings for 11 pm

Network Show Twts Hour Twts Day UT Hour UT Day Reach Male Female
Fox News RedEye 158 2,260 71 1,004 7,173,251 65% 35%

 


Definition of terms used in this report:

  • Network: For the purposes of total network mentions, the count is the total unique tweets that mention any of the shows tracked on the network or the network’s general Twitter account (e.g., @CNN).
  • Mentions During Hour or Tweets Hour: The number of tweets that mention the show during the hour specified. For shows that are repeat later in the day, the first (and often live) showing usually garners the most mentions by a significant margin.
  • Mentions During day or Tweets Day: The total number of mentions a show received from midnight to midnight, eastern time.
  • Tweet Count: The number of tweets (including retweets) that mention a show.
  • Unique Tweeters (Also labeled ‘UT‘): The number of Twitter users who have sent one or more tweets mentioning a show. If a user sends more than one tweet, they still only count once. For individual shows, both the unique tweeters during an hour as well as throughout the day are shown.
  • Reach: A measure of the number of impressions a collection of tweets could make. For each tweet that is sent, I add up how many people follow the person tweeting it — how many timelines that tweet will show up in. Thus, if network A has 10,000 mentions from people with an average of 10 followers, the reach will be 00,000. On the other hand, if network B has 10,000 mentions from people with an average of 100 followers, the reach will be 1,000,000. So network B has much greater reach: tweets mentioning network B will potentially be seen 10 times as often as tweets about network A. There’s no guarantee that that many people actually see or read the tweet; in fact, it’s probably safe to say a very small fraction do. For individual shows, reach is only calculate on the entire day’s tweets: there’s no point in assuming that people read the tweets in real time.
  • Male / Female: An estimate of the demographics of a show’s audience. Note that this number is an imprecise estimate.

Cable News Twitter Ratings are still experimental. If you have any suggestions, find any errors, or have any questions, please feel free to contact me at admin@socialseer.com

For further discussion of how these stats are calculated, please see this blog post. Especially the part about how I determine the gender of Twitter users.