Following on from my post this morning about the reaction on Twitter to day one of Thinking Digital, I’ve used Lissted’s semantic engine to produce two more word clouds of the adjectives used in relation to the conference.
The first relates to just day two and is based on around 1,700+ tweets featuring the hashtag #TDC13.
If you compare this cloud with day one you find that the reaction is even more positive, with “amazing” for example appearing twice as frequently as it did on the first day. My own view would be consistent with this, with the sessions from Aza Raskin and Aral Balkan in particular being truly inspirational for me personally.
The second cloud pulls the two days together giving the overall reaction based on over 4,000 tweets referencing the #TDC13 hashtag.
On this basis I think it’s safe to conclude that the conference was a resounding success!
Congratulations to Herb Kim for pulling off another fantastic event. I’m already looking forward to next year.
I’m attending the Thinking Digital conference at the moment, an eclectic look at what’s happening in the digital space. TDC is a highly successful North East event which is now in its 6th year. It kicked off with day one yesterday, providing the usual mix of fascinating content, food for thought and a bit of fun thrown in. Check out the write up by ITProPortal.
As you might expect for an event in this space Twitter is where a large proportion of the reaction and commentary appears, and sure enough I identified over 2,000 tweets yesterday with the hashtag #TDC13. Tweeters included organisers, speakers, attendees, webcast viewers and members of the Twitter community at large.
I thought it might be interesting to use Lissted’s semantic engine to see which adjectives had been used within these tweets*. The word cloud above shows the top 200 based on their frequency.
It’s pretty obvious that the overwhelming reaction was positive!
Adam.
* I took the liberty of taking out a handful of frequently used process terms such as “next” and “more”.
The most frequently mentioned companies by the 11,000+ UK media related Twitter accounts on Lissted.
Based on 2.3 million tweets during the 30 days ended 8/5/2013.
1 Apple
2 Facebook
3 Google
4 Microsoft
5 Tesco
6 Nintendo
7 Samsung
8 Sony
9 Amazon
10 Asda
11 Netflix
12 Nokia
13 Intel
14 Primark
15 Marks & Spencer
16 IBM
17 BT
18 Lloyds
19 BP
20 Royal Mail
21 Barclays
22 EBay
23 Goldman Sachs
24 Virgin Media
25 HSBC
26 Starbucks
27 Dell
28 BNP Paribas
29 Boeing
30 HTC
31 Vodafone
32 Jaguar
33 Waitrose
34 Marvel
35 O2
36 General Electric
37 General Motors
38 Ikea
39 Aviva
40 BlackBerry
41 Nike
42 Honda
43 Land Rover
44 JPMorgan Chase
45 Ubisoft
46 Toyota
47 Ford Motor
48 Hyundai
49 Ferrari
50 McDonalds
51 Warner Bros
52 Network Rail
53 Betfair
54 Porsche
55 Adobe
56 AT&T
57 Coca-Cola
58 HBOS
59 G4S
60 Sprint Nextel
61 Deutsche Bank
62 LG Electronics
63 Nissan
64 Diageo
65 Yahoo
66 BMW
67 AMD
68 Huawei
69 Electronic Arts
70 Mozilla
71 Disney
72 Mercedes
73 EasyJet
74 HMV
75 PepsiCo
76 NEC
77 Cisco
78 EMC Corp
79 Lotus
80 Verizon
81 Unilever
82 Audi
83 WPP
84 SEGA
85 Virgin Atlantic
86 Atos
87 Debenhams
88 EE
89 Exxon Mobil
90 ASOS
91 Credit Suisse
92 Emirates
93 Shell
94 Panasonic
95 AstraZeneca
96 Hewlett-Packard
97 Ryanair
98 T-Mobile
99 Waterstones
100 Aston Martin
We’ve been doing some analysis of the Twitter accounts of the major news outlets on Lissted. One area we’ve looked at is when the accounts were created and when they were first used.
The earliest account created by a major outlet we’ve identified is @guardianaudio on 29th November 2006. However after an initial tweet:
Finding out how to use twitter
— Guardian Audio (@guardianaudio)
The account wasn’t used again until March 2009:
n today’s Guardian Daily podcast: Peter Walker on the Starting Over Show, an expo for would-be divorcees: http://tinyurl.com/cn8rt7
— Guardian Audio (@guardianaudio)
Our best guess is that the account was created by one of three Guardian journalists: @JanineGibson, who joined Twitter on 20th November ‘06 (making her the first journalist at a UK national newspaper to join), @EmilyBell, director of digital content at the time or @jemimakiss who joined Twitter on 20th December ‘06.
But whoever posted that first tweet, the lack of subsequent use means that the first tweet of a news story by a major outlet that we can identify was by CNN on 2nd January 2007:
The wreckage of an Indonesian jetliner that went missing with more than 100 on board is spotted in a mountainous region but no word on sur…
— CNN Breaking News (@cnnbrk)
Since that day @cnnbrk has tweeted over 23,000 times and has attracted 11.6 milion followers making it the most followed media outlet account on Twitter according to Lissted’s database.
Admittedly a lot of them will be fake or inactive - estimates of its “good” followers vary from Status People’s 18% to Social Bakers 47% - but that still makes for between 2.1m - 5.5m genuine followers.
We will have more on media outlet follower numbers in our next post but for now kudos to CNN for being first to embrace Twitter as the place to break news.
We’ve introduced some new statistics to Lissted’s profile search, showing what percentage of a user’s tweets over the last 30 days contained @mentions, retweets, and links.
This data is designed to help you understand how a particular journalist or media outlet uses Twitter. If an account has a high percentage of @Mentions, for example, it’s likely they frequently engage with other Twitter users, and might be more responsive to an approach on Twitter.
Someone with a high percentage of links, but few @Mentions, may instead operate their Twitter feed as a kind of personal RSS feed. In this case their tweets should give you a good understanding of their interests, but when it comes to potentially contacting them, phone or email are much more likely to be effective.
Accounts with low percentages across the board may use Twitter as more of a soapbox for their personal thoughts and ideas, while a high number of retweets and links indicates a tendency to share and curate content.
These are powerful statistics for a PR practitioner. Combining this analysis with knowledge of their related outlets, followers and Klout score, you can start to build a detailed profile of individual accounts. This means you can now use Lissted not only to identify relevant media, but also to understand more about how they use Twitter, and the best way to approach them with a story.
Mobile World Congress 2013: Most mentioned brands by the Media on Twitter
Analysis based on 7,260 tweets by 619 journalists, bloggers and analysts and 419 media outlet accounts tracked by Lissted that mentioned “MWC”, “MWC13”, “MWC2013” or “Mobile World Congress” during the week prior to the show and during the show itself (00.00 GMT-18/2/13 to 11.36 GMT-28/2/13).
Full post here.
With Mobile World Congress 2013 coming to an end today, we thought we’d have a look at the chatter on Twitter around the event and specifically which companies, products and technologies got the media tweeting most.
Our analysis is based on 7,260 tweets* by 619 journalists, bloggers and analysts and 419 media outlet accounts tracked by Lissted that mentioned “MWC”, “MWC13”, “MWC2013” or “Mobile World Congress” during the week prior to the show and during the show itself (00.00 GMT-18/2/13 to 11.36 GMT-28/2/13).
*Includes mentions in the titles or URLs of related links
The word cloud above (click here for large version, download slide here) shows that Nokia and Samsung were the most frequently mentioned vendors, with their latest Lumia and Galaxy ranges in particular generating a lot of media attention.
Mozilla’s new Firefox OS received a significant number of mentions, as did Asus with the launches of its Padfone Infinity and Fonepad products and LG with its Optimus F Series.
The Chinese vendors were also the subjects of a lot of media Twitter chatter, Huawei with the new “world’s fastest smartphone” the Ascend P2, and ZTE with its Grand Memo phablet and Open smartphone featuring the Firefox OS.
Top 50 companies, products and technologies by mention
1 Nokia
2 Samsung
3 Android
4 LG
5 Firefox
6 Asus
7 Galaxy
8 Huawei
9 Lumia
10 ZTE
11 Optimus
12 Sony
13 Windows
14 Ascend
15 Mozilla
16 Padfone
17 Xperia
18 Fonepad
19 Intel
20 HP
21 Google
22 Alcatel
23 GSMA
24 Apple
25 Ericsson
26 Grand Memo
27 Lenovo
28 HTC
29 Slate
30 Qualcomm
31 Ford
32 One Touch
33 Facebook
34 Ubuntu
35 iPad
36 Acer
37 Mastercard
38 Blackberry
39 iOS
40 iPhone
41 Open (ZTE)
42 Telefonica
43 Tizen
44 Spotify
45 Tegra
46 Visa
47 Nvidia
48 Snapdragon
49 Orange
50 Microsoft
Twitter’s new video app Vine, which lets users shoot and share six-second looping video clips, has generated a huge reaction from the media community in the past week.
A flood of x-rated clips, an unfortunate Editor’s Pick, and several social-savvy brands experimenting with the new platform have kept Vine at the top of the tech news agenda all week.
We thought it might be interesting to see exactly what was being said, too. The word cloud below shows the 50 most popular terms tweeted by the UK technology media on the topic of Vine between 23/1 and 30/1 - excluding tweets that were just sharing a personal Vine, really common words, and the words ‘Twitter’ and ‘Vine’.
As you can see, x-rated Vines, that unfortunate editor’s pick on day one, Facebook’s reaction to the release, and comparisons with Instagram all feature heavily.
Six seconds, porn, app. Says it all. Or does it?
Data:
- Lissted tracked 1.25m tweets between 23/1-30/1 in total across the 23,000 media Twitter accounts on our database.
- 6,000+ referred to “Vine”.
- 549 of these tweets were by the 839 UK technology journalists, bloggers and outlets on Lissted (total tweets by this group during this period, 44,472).
Chelsea midfielder Eden Hazard kicked a ballboy this week, and it started a storm of media tweets. Bad, or funny? Amazing, or insane? We’ve used Lissted to put together a word cloud to look at what the media thought and said about the incident.
It shows the top 100 adjectives mentioned in 2,148 media tweets about the story between 9.22pm on January 23rd and 11.07am on the 24th. Of these, 312 were from 118 media outlets, and 1,836 tweets were by 796 journalists or bloggers. A list of the terms and how often they appeared is at the bottom of this post.
Here’s what else we noticed:
First tweet from mainstream media Twitter account:
Manish Bhasin @bbc_manish
Most tweets by a media outlet:
20 by @BBCSport
Most tweets by a journalist:
19 by @TimGattITV Tim Gatt, ITV’s Digital Output Editor
Journalist with highest Klout score who tweeted:
Piers Morgan @PiersMorgan Klout score 90
Top links included in tweets:
34 links - ITV - Chelsea Eden Hazard sent off for kicking Swansea Ballboy in League Cup semi final
21 links - Hazard kicks Ballboy DISGRACEFUL - YouTube (no longer available due to copyright issues, according to YouTube. Hmm…)
Top 100 adjectives used
1 wrong: 61
2 sorry: 49
3 stupid: 43
4 enough: 40
5 same: 24
6 last: 23
7 few: 22
8 bad: 21
9 funny: 20
10 good: 19
11 most: 19
12 unbelievable: 18
13 amazing: 17
14 insane: 16
15 professional: 15
16 bizarre: 14
17 ridiculous: 13
18 straight: 13
19 incredible: 13
20 shocking: 12
21 second: 12
22 best: 12
23 nice: 11
24 official: 11
25 violent: 11
26 pathetic: 10
27 full: 10
28 disgraceful: 10
29 further: 10
30 own: 9
31 whole: 9
32 innocent: 9
33 former: 9
34 worse: 9
35 latest: 9
36 belgian: 8
37 daft: 8
38 real: 8
39 different: 8
40 many: 8
41 least: 8
42 disgusting: 7
43 possible: 7
44 sensible: 7
45 local: 7
46 bigger: 7
47 harder: 7
48 older: 6
49 hilarious: 5
50 proud: 5
51 exclusive: 5
52 correct: 5
53 hazardous: 5
54 racist: 5
55 brilliant: 5
56 fresh: 5
57 obvious: 5
58 worst: 5
59 dramatic: 4
60 clever: 4
61 animated: 4
62 fat: 4
63 massive: 4
64 serious: 4
65 unknown: 4
66 immature: 4
67 irresponsible: 4
68 reprehensible: 4
69 low: 4
70 incredulous: 4
71 complete: 4
72 harsh: 3
73 huge: 3
74 lengthy: 3
75 public: 3
76 weird: 3
77 reluctant: 3
78 simple: 3
79 responsible: 3
80 juicy: 3
81 unreal: 3
82 irrelevant: 3
83 recent: 3
84 calm: 3
85 foremost: 3
86 malicious: 3
87 dangerous: 3
88 perfect: 3
89 important: 3
90 limp: 3
91 tough: 3
92 weirdest: 3
93 richest: 3
94 depressing: 2
95 sarcastic: 2
96 superb: 2
97 bonkers: 2
98 shameful: 2
99 winded: 2
100 outside: 2
Word cloud based on 6,080 tweets and retweets that mention “Leveson” by UK media tracked by Lissted between 1.30pm and 8.30pm on 29th November 2012, following publication of the Leveson report. Leveson based name terms e.g. Lord Justice Leveson, Leveson etc, along with very high frequency words such as - the, a, of etc, have been removed.
In the first hour after the report was published Lissted indexed a tweet from the UK media that referenced Leveson every 1.5 seconds.
For comparison we also recorded all tweets that mentioned “Leveson” on Twitter as a whole between 15:00 and 18:00 and found 16,762* in total.
Of these UK media accounts tracked by Lissted accounted for 2,285 tweets.
So around 1 in 7 of all tweets about Leveson during this three hour period were by the UK media.
*This excludes the following to try and take out likely tweet spam:
- tweets that were clearly hashtag spam;
- tweets from accounts with less than 10 followers, or
- tweets from accounts with a Klout score of less than 20 and less than 20 followers
Word cloud created using Wordle.
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