Paul Walker’s death drove E! News’ Twitter mentions through the roof, giving them the best-day win and making them nearly the most mentioned network on Twitter. Best-hour went to the Melissa Harris-Perry Show on MSNBC, although with an unusually low mention count for a winner, reflecting the overall quietness of the holiday weekend. The MHP Show was the only show to garner over 1000 mentions during a broadcast hour.
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 Ratings for 2013-12-01
Top Shows for the day:
| Category | Mentions | Show |
| Most Mentions During Hour | 1208 | MSNBC: Melissa Harris-Perry Show |
| Most Mentions During Day | 41688 | E: E! News Weekend |
Overall ratings by network
| Network | Tweet Count | Unique Tweeters | Reach | Male | Female |
| CNN | 47762 | 34676 | 315368754 | 75 % | 25 % |
| E | 41688 | 40126 | 29549353 | 48 % | 52 % |
| Fox News | 13637 | 8189 | 50157309 | 64 % | 36 % |
| MSNBC | 12624 | 6260 | 48464149 | 52 % | 48 % |
| Comedy Central | 1365 | 1105 | 3330727 | 57 % | 43 % |
| Al Jazeera | 1246 | 958 | 5199458 | 57 % | 43 % |
| HLN | 628 | 353 | 10869505 | 45 % | 55 % |
| HBO | 255 | 197 | 482162 | 71 % | 29 % |
For networks that are not predominantly news, only news(-like) shows are included. See the detailed listings below for precise shows
Most popular hastags
| Hashtag | Count |
| #afc | 2835 |
| #tcot | 2612 |
| #lnyhbt | 2524 |
| #nerdland | 2295 |
| #topoftheleague | 1796 |
| #uppers | 1376 |
| #teaparty | 1038 |
| #obamacare | 976 |
| #tgdn | 889 |
| #chelsea | 843 |
Ratings for individual time slots
Ratings for 1 am
| Network | Show | Tweets Hour | Tweets Day | Male | Female |
| Fox News | Fox Files | 1 | 3 | 67% | 33% |
Ratings for 2 am
| Network | Show | Tweets Hour | Tweets Day | Male | Female |
| Fox News | RedEye | 7 | 161 | 71% | 29% |
Ratings for 3 am
| Network | Show | Tweets Hour | Tweets Day | Male | Female |
| Fox News | Huckabee | 6 | 102 | 48% | 52% |
Ratings for 5 am
| Network | Show | Tweets Hour | Tweets Day | Male | Female |
| Fox News | Huckabee | 5 | 102 | 48% | 52% |
Ratings for 6 am
| Network | Show | Tweets Hour | Tweets Day | Male | Female |
| CNN | New Day | 74 | 1113 | 47% | 53% |
| Fox News | Fox and Friends Weekend | 13 | 169 | 68% | 32% |
Ratings for 7 am
| Network | Show | Tweets Hour | Tweets Day | Male | Female |
| CNN | New Day (to 7:30, Sun) | 70 | 1113 | 47% | 53% |
| CNN | Sanjay Gupta MD (7:30) | 11 | 172 | 47% | 53% |
| E | E! News Weekend | 67 | 41688 | 48% | 52% |
| Fox News | Fox and Friends Weekend | 37 | 169 | 68% | 32% |
| HLN | Weekend Express | 2 | 11 | 100% | 0% |
| MSNBC | Hardball w/ Chris Matthews (7:00) | 5 | 139 | 63% | 37% |
| MSNBC | Your Business (7:30) | 0 | 6 | 0% | 100% |
Ratings for 8 am
| Network | Show | Tweets Hour | Tweets Day | Male | Female |
| CNN | New Day | 405 | 1113 | 47% | 53% |
| Fox News | Fox and Friends Weekend | 37 | 169 | 68% | 32% |
| HLN | Weekend Express | 0 | 11 | 100% | 0% |
| MSNBC | Up w/Steve Kornacki | 575 | 1981 | 52% | 48% |
Ratings for 9 am
| Network | Show | Tweets Hour | Tweets Day | Male | Female |
| CNN | State of the Union | 200 | 510 | 53% | 47% |
| Fox News | Fox and Friends Weekend | 46 | 169 | 68% | 32% |
| HLN | Weekend Express | 1 | 11 | 100% | 0% |
| MSNBC | Up w/Steve Kornacki | 686 | 1981 | 52% | 48% |
Ratings for 10 am
| Network | Show | Tweets Hour | Tweets Day | Male | Female |
| CNN | GPS w/Fareed Zakaria | 35 | 122 | 59% | 41% |
| Fox News | America’s News HQ | 48 | 165 | 80% | 20% |
| Fox News | Sunday Housecall (10:30) | 5 | 6 | 80% | 20% |
| HLN | Weekend Express | 2 | 11 | 100% | 0% |
| MSNBC | Melissa Harris-Perry Show | 1208 | 4662 | 43% | 57% |
Ratings for 11 am
| Network | Show | Tweets Hour | Tweets Day | Male | Female |
| CNN | News Room | 5 | 47 | 65% | 35% |
| Fox News | #MediaBuzz | 138 | 498 | 66% | 34% |
| HLN | Weekend Express | 1 | 11 | 100% | 0% |
| MSNBC | Melissa Harris-Perry Show | 1047 | 4662 | 43% | 57% |
Ratings for 12 pm
| Network | Show | Tweets Hour | Tweets Day | Male | Female |
| CNN | State of the Union w/Candy Crowley | 62 | 510 | 53% | 47% |
| Fox News | America’s News HQ | 12 | 165 | 80% | 20% |
| HLN | Weekend Express | 2 | 11 | 100% | 0% |
| MSNBC | Weekends w/ Alex Witt | 41 | 80 | 50% | 50% |
Ratings for 1 pm
| Network | Show | Tweets Hour | Tweets Day | Male | Female |
| CNN | GPS w/Fareed Zakaria | 2 | 122 | 59% | 41% |
| Fox News | America’s News HQ | 53 | 165 | 80% | 20% |
| MSNBC | Weekends w/Alex Witt | 17 | 80 | 50% | 50% |
Ratings for 2 pm
| Network | Show | Tweets Hour | Tweets Day | Male | Female |
| CNN | News Room | 1 | 47 | 65% | 35% |
| Fox News | Fox News Sunday | 121 | 1232 | 59% | 41% |
| MSNBC | MSNBC Live w/Craig Melvin | 1 | 12 | 78% | 22% |
Ratings for 3 pm
| Network | Show | Tweets Hour | Tweets Day | Male | Female |
| Fox News | WSJ Editorial Report (3:00) | 2 | 3 | 0% | 100% |
| Fox News | America’s News HQ (3:30) | 2 | 165 | 80% | 20% |
| MSNBC | MSNBC Live w/Craig Melvin | 4 | 12 | 78% | 22% |
Ratings for 4 pm
| Network | Show | Tweets Hour | Tweets Day | Male | Female |
| CNN | News Room | 3 | 47 | 65% | 35% |
| Fox News | A Healthy You w/ Carol Alt (4pm) | 0 | 0 | 0% | 0% |
| Fox News | Sunday Housecall (4:30) | 0 | 6 | 80% | 20% |
| MSNBC | Disrupt w/ Karen Finney | 218 | 471 | 40% | 60% |
Ratings for 5 pm
| Network | Show | Tweets Hour | Tweets Day | Male | Female |
| CNN | News Room | 2 | 47 | 65% | 35% |
| Fox News | #MediaBuzz | 15 | 498 | 66% | 34% |
Ratings for 6 pm
| Network | Show | Tweets Hour | Tweets Day | Male | Female |
| CNN | News Room | 13 | 47 | 65% | 35% |
| Fox News | Fox News Sunday | 107 | 1232 | 59% | 41% |
Ratings for 7 pm
| Network | Show | Tweets Hour | Tweets Day | Male | Female |
| Fox News | Fox Report Weekend | 2 | 3 | 0% | 0% |
Ratings for 8 pm
| Network | Show | Tweets Hour | Tweets Day | Male | Female |
| Fox News | Huckabee | 25 | 102 | 48% | 52% |
Ratings for 9 pm
| Network | Show | Tweets Hour | Tweets Day | Male | Female |
| Fox News | The Kelly File | 82 | 485 | 58% | 42% |
Ratings for 10 pm
| Network | Show | Tweets Hour | Tweets Day | Male | Female |
| Fox News | Stossel | 67 | 362 | 76% | 24% |
Ratings for 11 pm
| Network | Show | Tweets Hour | Tweets Day | Male | Female |
| Fox News | Huckabee | 11 | 102 | 48% | 52% |
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: 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.
- Reach: A measure of the number of impressions a collection of tweets will make. For each tweet that is sent, it adds 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 100,000. 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.
- 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.