Tweets Analysis - Keyword: @primroseriordan
Overview
Total number of tweets analysed
43
Earliest tweet was on
2023-03-21
Latest tweet was on
2023-03-30
Tweets covering
8 days
Average age of authors' accounts
10 years
Summarization
The Financial Times has published a visual investigative report examining the network of triads, ghost ships, and underground banks that fund North Korea's nuclear program. The report includes evidence of how high-level people with connections to criminal networks help the regime evade sanctions. The investigation involved a large team effort, including collaboration with open source intelligence and analysis groups. The report also includes graphics tracking the movement of ships and oil smuggling. There were also congratulatory messages for the team's efforts. One tweet mentioned that Japan is a war criminal state that colonized Korea for 40 years and refused to apologize, while another tweet celebrates someone's nameday.
Topic Modeling
- North Korea's nuclear ambitions
- Triads and underground banking
- Criminal networks and sanctions evasion
- Nuclear financing and smuggling
- Journalistic reporting and visual investigation
Emotional Analysis
The tweets express a range of emotions including admiration for the investigation and its stunning visuals, appreciation for the teamwork involved, and astonishment at the detailed evidence presented. There is also a sense of intrigue and fascination with the shadowy networks and criminal connections that enable North Korea's nuclear ambitions, as well as a sense of concern and condemnation for the illegal activities involved. Amidst these emotions, there are also some unrelated tweets about namedays and political issues that do not contribute to the emotional analysis of the main topic.
Trend Analysis
- North Korea's network of triads, ghost ships, and underground banks financing nuclear ambitions
- Investigation by @FinancialTimes journalists @crsdavies, @primroseriordan, and @ThomasHHChan
- Visuals and design of the investigation
- Collaboration with open source intelligence and analysis research group @RUSI_org
- Smuggling oil to North Korea through shadowy networks
Types of Tweets
Number of Retweets
18
Percentage of total tweets
41%
Number of Original tweets
8
Percentage of total tweets
18%
Number of tweets that contain Mentions
43
Percentage of total tweets
100%
Number of tweets that were Replies
16
Percentage of total tweets
37%
Number of tweets that were Quotes
6
Percentage of total tweets
13%
Number of tweets that contain Hashtags
1
Percentage of total tweets
2%
Top 5 devices used to tweet
| Source | Count |
|---|---|
| Twitter Web App | 24 |
| Twitter for Android | 8 |
| Twitter for iPhone | 8 |
| TweetDeck | 2 |
| Twitter for iPad | 1 |
What devices were used to tweet
Top 10 accounts with highest followers count
| Username | Name | Bio | Followers count |
|---|---|---|---|
| RUSI_org | RUSI | Royal United Services Institute for Defence and Security Studies. Founded in 1831, RUSI is the oldest defence and security think tank in the world. | 126,409 |
| mancunianmedic | David Oliver | NHS Dr 34 y. Covid wards++. Gov, policy, academic, officer roles. Byline: @BMJ_latest. Columns: health press, papers @mjauk. Manc-in-South. MCFC. Craic. Schlock | 67,097 |
| patrickpoon | Patrick Poon 💛 | Visiting Researcher @UTokyo_News_en｜ Former Visiting Researcher @Meiji_Univ_PR｜Advisor @the29Principles｜former journo｜now also on https://t.co/dGAIGYs4Fc | 22,627 |
| bradleyhope | Bradley Hope | Co-founder @ProjectBrazen. ⚔️ BILLION DOLLAR WHALE / BLOOD AND OIL / REBEL AND THE KINGDOM Subscribe to @WhaleHunting_ and @thecloserpod https://t.co/yPtM4h4oPC | 18,841 |
| sdbernard | Steven Bernard | @FT Senior Visual Journalist. Mad about cartography, dataviz and F1! Check out my QGIS youtube channel at https://t.co/6aTE6G8h0T Follow me on Instagram @stevendbernard | 13,190 |
| W_R_Chase | Will Chase | “boy employee” @axios, leading visual storytelling. Design x data x code. 🏳️🌈 he/him | 7,950 |
| TomHale_ | Thomas Hale | Shanghai Correspondent - @FinancialTimes | 6,975 |
| samjoiner | Sam Joiner | Visual stories editor @FinancialTimes | Formerly @thetimes @thesundaytimes @guardian @microsoft | Mentor @IntoUniversity | ⚽️ @OldGarchonians | 5,770 |
| elimeixler | Eli Meixler | Asia world news editor @FinancialTimes in 🇭🇰. Prev: 🇲🇲, 🇰🇭, 🗽. Mr Bean impersonator, bagel dogmatist. ✊. Views regrettably mine. | 5,117 |
| thatdanstewart | Dan Stewart | Deputy head of longform, FT. Formerly TIME, The Week. Londoner, but spent time as a New Yorker. Email me at dan dot stewart at ft dot com | 4,715 |
Top 10 accounts with highest friends count
| Username | Name | Bio | Followers count |
|---|---|---|---|
| mancunianmedic | David Oliver | NHS Dr 34 y. Covid wards++. Gov, policy, academic, officer roles. Byline: @BMJ_latest. Columns: health press, papers @mjauk. Manc-in-South. MCFC. Craic. Schlock | 25,514 |
| patrickpoon | Patrick Poon 💛 | Visiting Researcher @UTokyo_News_en｜ Former Visiting Researcher @Meiji_Univ_PR｜Advisor @the29Principles｜former journo｜now also on https://t.co/dGAIGYs4Fc | 9,146 |
| bradleyhope | Bradley Hope | Co-founder @ProjectBrazen. ⚔️ BILLION DOLLAR WHALE / BLOOD AND OIL / REBEL AND THE KINGDOM Subscribe to @WhaleHunting_ and @thecloserpod https://t.co/yPtM4h4oPC | 5,065 |
| zhengheforum | Zhengheforum | China-Muslim world relations, Indo-Pacific cultural dialogues. Georgetown Alumni. RTs & likes ≠ endorsement. zhengheforum@gmail.com | 4,982 |
| kahlua057 | yaya2seven 🌻🚺🇺🇦🇬🇪💃🏼 | Consider these unconfirmed leads and scoops only. I’m not a journalist. Retweet not endorsement. Sources Not Vetted. Get confirmation. Always. No lists | 4,259 |
| eastseanews | EastSeaNews | Too much focus on today leaves us vulnerable to nasty surprises tomorrow. 'ABC' rule: Assume nothing, Believe nobody, Check everything. #GetVaccinated | 3,847 |
| edwardwhitenz | Edward White | FT China correspondent. @FinancialTimes. Normal disclaimers. | 3,765 |
| tweet4852 | tweet4852🇭🇰😷🖐️ | Retweet #HongKong News(& Important Tweets)// Half #BOT Half Human// Twitter Please Ban Me ASAP// #StandWithHongKong// #FollowBackHongKong// #MilkTeaAlliance | 2,918 |
| elimeixler | Eli Meixler | Asia world news editor @FinancialTimes in 🇭🇰. Prev: 🇲🇲, 🇰🇭, 🗽. Mr Bean impersonator, bagel dogmatist. ✊. Views regrettably mine. | 2,911 |
| ScottChipolina | Scott Chipolina | Digital Assets Correspondent at the @FT. Previous: @decryptmedia | Trained in investigative journalism at @cityjournalism | 2,452 |
Most active users
| Username | Bio | Number of tweets |
|---|---|---|
| Elon55447675 | Short Shorts Eats 🩳 CheckApe | 3 |
| leahyjoseph | Beijing bureau chief @FT joseph.leahy@ft.com, msg me for Telegram/Signal/WeChat | 3 |
| thatdanstewart | Deputy head of longform, FT. Formerly TIME, The Week. Londoner, but spent time as a New Yorker. Email me at dan dot stewart at ft dot com | 2 |
| samjoiner | Visual stories editor @FinancialTimes | Formerly @thetimes @thesundaytimes @guardian @microsoft | Mentor @IntoUniversity | ⚽️ @OldGarchonians | 2 |
| EleanorOlcott | China Correspondent @FT email: eleanor.olcott@ft.com DM for alt contact floating between different islands with tall mountains to climb | 1 |
| osullivan65Tom | Senior editor on the Bloomberg editing hub. Ex-Financial Times. Likes - Coventry City FC, northern soul and Hong Kong. Based in London. Personal account | 1 |
| jaysimmo3 | - | 1 |
| kahlua057 | Consider these unconfirmed leads and scoops only. I’m not a journalist. Retweet not endorsement. Sources Not Vetted. Get confirmation. Always. No lists | 1 |
| mancunianmedic | NHS Dr 34 y. Covid wards++. Gov, policy, academic, officer roles. Byline: @BMJ_latest. Columns: health press, papers @mjauk. Manc-in-South. MCFC. Craic. Schlock | 1 |
| marenascar | La vida te da sorpresas. Sorpresas te da la vida. | 1 |
Tweets per day
Top 10 tweets with highest Retweet count
| ID | Text | Retweet count |
|---|---|---|
| 1640967706793979904 | NEW: In our latest visual investigation, we reveal the network of triads, ghost ships and underground banks that finance North Korea’s nuclear ambitions. W/ @crsdavies @primroseriordan @ThomasHHChan @sdbernard @Dan_Clark5 & @carolinenevitt 🇰🇵🛢️👇 https://t.co/OCcIBhtaK7 https://t.co/6HtuHL1rba | 66 |
| 1640931931121672192 | Kim Jong Un and the triads: blockbuster investigation by @FinancialTimes @crsdavies @primroseriordan @ThomasHHChan @samjoiner and team. Can't recommend highly enough https://t.co/pDSngRmunk | 27 |
| 1640940981855072257 | Incredible look at the shadowy networks enabling Kim Jong Un to finance his nuclear ambitions. Congratulations to @primroseriordan @crsdavies @ThomasHHChan and FT visual team https://t.co/B0MJckufyy | 9 |
| 1641352389947949057 | “This is the most detailed evidence ever put into the public domain to show how North Korea uses people with high-level connections to criminal networks like the triads to evade sanctions" Cracking story from @crsdavies @primroseriordan and @ThomasHHChan https://t.co/Obrnrn4xbd | 6 |
| 1640982375948591106 | I had the luck of seeing the team work on this project these past months & it's 🤩. The investigation is incredible & the design is absolutely stunning Visual investigation by @crsdavies @primroseriordan @ThomasHHChan @sdbernard @Dan_Clark5 @samjoiner & @carolinenevitt https://t.co/TdMLHPu6Xu | 5 |
| 1641000844383404042 | @crsdavies @primroseriordan @ThomasHHChan @sdbernard @Dan_Clark5 @carolinenevitt Huge thanks also to the open source intelligence and analysis research group at @RUSI_org, who have been brilliant collaborators on this story from start to finish | 4 |
| 1641450976573018112 | Thanks to @crsdavies, @primroseriordan, @ThomasHHChan, @samjoiner and others at the incredible @FT team for great reporting and visualisation of the story. | 1 |
| 1641017931139260421 | @samjoiner @ftdata @crsdavies @primroseriordan @ThomasHHChan @sdbernard @Dan_Clark5 @carolinenevitt The United States and Japan are forcing South Korea as a tool to protect the United States and Japan. Japan is a war criminal state that has colonized Korea for 40 years and refused to apologize even after undergoing sex slavery, forced labor, and biological experiments. | 0 |
| 1640950860325724160 | Triads, gambling tycoons, gold merchants and grand prix junkies. Great investigation by @crsdavies @primroseriordan and @ThomasHHChan on the murky underworld smuggling oil to North Korea. https://t.co/9BQV5Q1Gsy | 0 |
| 1640975874731171841 | As usual with a piece of this size it was a huge team effort – great reporting by @primroseriordan @crsdavies and @ThomasHHChan beautiful design by @carolinenevitt, development wizadry by @Dan_Clark5 with help from @JALWilliams_ and huge thanks to @RUSI_org | 0 |
Top 10 tweets with highest Like count
| ID | Text | Like count |
|---|---|---|
| 1640967706793979904 | NEW: In our latest visual investigation, we reveal the network of triads, ghost ships and underground banks that finance North Korea’s nuclear ambitions. W/ @crsdavies @primroseriordan @ThomasHHChan @sdbernard @Dan_Clark5 & @carolinenevitt 🇰🇵🛢️👇 https://t.co/OCcIBhtaK7 https://t.co/6HtuHL1rba | 222 |
| 1640931931121672192 | Kim Jong Un and the triads: blockbuster investigation by @FinancialTimes @crsdavies @primroseriordan @ThomasHHChan @samjoiner and team. Can't recommend highly enough https://t.co/pDSngRmunk | 39 |
| 1640982375948591106 | I had the luck of seeing the team work on this project these past months & it's 🤩. The investigation is incredible & the design is absolutely stunning Visual investigation by @crsdavies @primroseriordan @ThomasHHChan @sdbernard @Dan_Clark5 @samjoiner & @carolinenevitt https://t.co/TdMLHPu6Xu | 23 |
| 1640940981855072257 | Incredible look at the shadowy networks enabling Kim Jong Un to finance his nuclear ambitions. Congratulations to @primroseriordan @crsdavies @ThomasHHChan and FT visual team https://t.co/B0MJckufyy | 12 |
| 1641352389947949057 | “This is the most detailed evidence ever put into the public domain to show how North Korea uses people with high-level connections to criminal networks like the triads to evade sanctions" Cracking story from @crsdavies @primroseriordan and @ThomasHHChan https://t.co/Obrnrn4xbd | 11 |
| 1641000844383404042 | @crsdavies @primroseriordan @ThomasHHChan @sdbernard @Dan_Clark5 @carolinenevitt Huge thanks also to the open source intelligence and analysis research group at @RUSI_org, who have been brilliant collaborators on this story from start to finish | 9 |
| 1641450976573018112 | Thanks to @crsdavies, @primroseriordan, @ThomasHHChan, @samjoiner and others at the incredible @FT team for great reporting and visualisation of the story. | 7 |
| 1640950860325724160 | Triads, gambling tycoons, gold merchants and grand prix junkies. Great investigation by @crsdavies @primroseriordan and @ThomasHHChan on the murky underworld smuggling oil to North Korea. https://t.co/9BQV5Q1Gsy | 5 |
| 1640975874731171841 | As usual with a piece of this size it was a huge team effort – great reporting by @primroseriordan @crsdavies and @ThomasHHChan beautiful design by @carolinenevitt, development wizadry by @Dan_Clark5 with help from @JALWilliams_ and huge thanks to @RUSI_org | 5 |
| 1641047958463315972 | There is a real sense of Spielberg meets TinTin in this opening scene. Visually stunning @sdbernard @Dan_Clark5 @samjoiner words by @crsdavies @primroseriordan and @ThomasHHChan https://t.co/snRB5LnZ5z | 5 |
Top 3 Languages Used In Tweets
Top 10 Hashtags used
| Hashtag | Count |
|---|---|
| #happy | 1 |
| #nameday | 1 |
| #name | 1 |
| #hnd | 1 |
| #xroniapolla | 1 |
| #nimipäivä | 1 |
| #meniny | 1 |
| #onomastico | 1 |
| #namnsdag | 1 |
| #fun | 1 |
Top 10 Hashtags Used In Tweets
Top 10 mentions
| Mention | Count |
|---|---|
| @primroseriordan | 44 |
| @crsdavies | 32 |
| @thomashhchan | 31 |
| @samjoiner | 18 |
| @dan_clark5 | 15 |
| @sdbernard | 14 |
| @carolinenevitt | 14 |
| @rusi_org | 4 |
| @scottchipolina | 4 |
| @financialtimes | 4 |
Top 10 mentions
Wordcloud of Tweets
Emojis
Average number of emojis used per tweet
65
Emojis used in tweets
| Emoji | Count | Emoji Text |
|---|---|---|
| 🇰🇵 | 5 | North_Korea |
| 🛢️ | 5 | oil_drum |
| 👇 | 3 | backhand_index_pointing_down |
| 2️⃣ | 3 | keycap_2 |
| 🤩 | 3 | star-struck |
| 🇭🇰 | 2 | Hong_Kong_SAR_China |
| 🇲🇴 | 2 | Macao_SAR_China |
| 😳 | 1 | flushed_face |
| ☝️ | 1 | index_pointing_up |
| 🚨 | 1 | police_car_light |
Emojis groups
| Emoji Group | Count |
|---|---|
| Flags | 10 |
| Travel & Places | 6 |
| People & Body | 4 |
| Smileys & Emotion | 4 |
| Symbols | 3 |
| Objects | 1 |