tiffkhsu - Tweet Data Analysis
Tweets Analysis - Keyword: @tiffkhsu
Overview
Tweets covering
10 days
Latest tweet was on
2023-02-20
Earliest tweet was on
2023-02-10
Total number of tweets analysed
83
Average age of authors' accounts
9 years
Summarization
The Hard Fork podcast discusses a creepy Bing/Sydney encounter as well as Elon Musk's Twitter algorithm changes regarding digital advertising technology. Discourse examines how a slowing digital ad market, Apple's ATT changes, tech companies' internal turmoil, weak content moderation, and more are contributing to a junk ad epidemic. These conversations include perspectives from Tiff Khsu, Eric Seufert, Zoe Schiffer, Jessica Fong, and others. Privacy changes, fewer buyers, smaller budgets or bids, and the lower value of impressions are discussed as contributing factors in the junk ad epidemic. Journalists may also be perpetrating disinformation in their articles. Lastly, A.I. chatbots and the ease at which they can spin deception is explored.
Topic Modeling
- Digital Advertising Technology: Advancements, Experience, Platforms, Load, and Bidding
- Eric Seufert & Apple's ATT Changes: Expertise, Interview, Relevance and Effects on Targeting
- Junk Ads & Privacy Changes: Epidemic, Attention, Value of Impressions and Behavioral Targeting
- Disinformation & Reporters: Sources, Apathy, and False Equivalencies
- AI & Being Human: AI chatbot, Deception and Editing
Emotional Analysis
Trend Analysis
- Digital Advertising Technology
- Apple's ATT Changes
- Ad Budget or Bids
- Privacy and Behavioral Targeting
- Disinformation and False Equivalency
Disclaimer: The text analysis on twtdata.com, powered by OpenAI, does not represent the views of twtdata.com or its affiliates. The analysis is for informational purposes only and not an endorsement of any viewpoint.
Types of Tweets
Number of Retweets
16
19% of total
Number of Original tweets
27
32% of total
Number of tweets that were Quotes
3
3% of total
Number of tweets that were Replies
40
48% of total
Number of tweets that contain Hashtags
13
15% of total
Number of tweets that contain Mentions
83
100% of total
Devices Used to Tweet
Top 5 Devices
| Source | Count |
|---|---|
| Twitter Web App | 30 |
| Twitter for iPhone | 24 |
| Twitter for Android | 15 |
| Techmeme Editors | 6 |
| Buffer | 5 |
Device Distribution
Top 10 Accounts by Followers
| Username | Name | Bio | Followers count |
|---|---|---|---|
| brianstelter | Brian Stelter | Media nerd. [email protected] | 787,848 |
| Techmeme | Techmeme | Top news and commentary for technology's leaders, from all around the web.This account shares top-level Techmeme headlines. Visit our site for full context. | 434,329 |
| kevinroose | Kevin Roose | NYT tech columnist, author of Futureproof and other books, and co-host of Hard Fork, a podcast that is good, actually: https://t.co/g9smuHEMOM… | 170,620 |
| matthewherper | Matthew Herper | Writing and events at STAT. This is biology's century; Every data point has a face. ‘21 Polk Award.Mastodon: @[email protected] | 111,097 |
| pkafka | Peter Kafka | Verbose, concise. Host of Recode Media. https://t.co/LPjdIrAklE [email protected], Monkey via @andybyday. “Someone I like reluctantly.” | 94,046 |
| mediagazer | Mediagazer | Top news and commentary for media professionals from all around the web. This account shares top-level Mediagazer headlines. Visit our site for full context. | 54,096 |
| robleathern | Rob Leathern | Working on something new. 2x exit startup CEO. Have worked on privacy, security and integrity products at Google & Facebook. 🇺🇸 + 🇿🇦 | 22,761 |
| SteveLohr | Steve Lohr | New York Times technology and economics reporter. Mostly tweet worthy reads. [email protected] | 21,869 |
| deaneckles | Dean Eckles | networks, contagion, causality. @MIT professoralso: @[email protected] | 16,277 |
| BetaMoroney | Tony Moroney | Founder & Managing Partner @BetaDigitalLtd | Director #Digital #Leadership @IMI_Ireland | Co-founder @DTLabUCC | #DigitalTransformation #Metaverse #FinTech | 10,589 |
Top 10 Accounts by Friends
| Username | Name | Bio | Followers count |
|---|---|---|---|
| brianstelter | Brian Stelter | Media nerd. [email protected] | 7,471 |
| SSXman2 | S. S. Xman | I'm a biologist | 5,377 |
| VelociraptorJ | Velociraptor Jones | writer in real life | 5,008 |
| mmmfiber | Mr. Farenheit | she/herhttps://t.co/DvX4Qce4zm| Slava Ukraini | | 5,003 |
| Qweere | 雲黒斎 | - | 5,002 |
| eason_kyle | Kyle Eason | Storyteller, screenwriter, filmmaker, producer, poet, humorist, coach & catalyst. #founder #startups #dalle #ChatGPT #AI #Denver #KansasCity #venturecapital | 4,985 |
| cambskeptics | Cambridge Skeptics | Promoting science, positive skepticism and critical thinking skills via public engagement. We also host monthly Skeptics in the Pub and social events. | 4,938 |
| VassB | Vass Bednar | ED MPP in Digital Society @McMasterU + Adjunct Prof. Political Science + @ppforumca Fellow + Senior Fellow @CIGIonline. productive policy provocateur (she/her) | 4,657 |
| BetaMoroney | Tony Moroney | Founder & Managing Partner @BetaDigitalLtd | Director #Digital #Leadership @IMI_Ireland | Co-founder @DTLabUCC | #DigitalTransformation #Metaverse #FinTech | 4,358 |
| UpshotSleuth | Upshot Sleuth ( @ ⛳️) | We think in generalities; we live in details. Probe. Think. Weigh consequences. Honor God, love dogs and hit long off the tee. RT not endorsements just #FYI | 4,329 |
Most Active Users
| Username | Bio | Number of tweets |
|---|---|---|
| TechmemeChatter | This account retweets the tweets that Techmeme links to. | 5 |
| brockreiss | - | 3 |
| deaneckles | networks, contagion, causality. @MIT professoralso: @[email protected] | 3 |
| libertygal14 | - | 3 |
| Aej1s | Streamer by night. Teacher by day. Your new homeroom kyōshi. Games, health, chat, reviews, advice, tutoring. Let's be friends! ''æ-jiss'' | 2 |
| rao_hacker_one | Builder; ex quant derivatives trader & startup founder. Tweets on AI, web3, tech, science, & econ. | 2 |
| jokebiden2024 | if Joe Biden is the President, I don't think anything really matters. | 2 |
| AmericanDHer | Twitter says I'm problematic :) Non-Bidenary | 2 |
| robleathern | Working on something new. 2x exit startup CEO. Have worked on privacy, security and integrity products at Google & Facebook. 🇺🇸 + 🇿🇦 | 1 |
| getbttrm8t | - | 1 |
Tweets Per Day
Top 10 Tweets by Retweets
| ID | Text | Retweet count |
|---|---|---|
| 1626630431323078657 | This week on Hard Fork, @CaseyNewton and I do a deep dive on my creepy Bing/Sydney encounter. Plus, @ZoeSchiffer joins to discuss Elon's Twitter algorithm changes and @tiffkhsu tells us … | 12 |
| 1624417852005531648 | >> @tiffkhsu writes: "Advancements in digital advertising technology were meant to improve users’ experience… But lately, on several platforms, the opposite seems to be happening…" https://t.co/XoLhvuxCtx | 5 |
| 1625270246578786305 | “Major social media platforms are now ‘like the mall in your hometown that used to be the good mall,’ @vexedinthecity said: ‘But now it’s just a calendar store & a … | 2 |
| 1624863617052188672 | How a slowing digital ad market, Apple's ATT changes, tech companies' internal turmoil, weak content moderation, and more are contributing to a junk ad epidemic (@tiffkhsu / New York Times)https://t.co/Js7j768R6ihttps://t.co/sHRB8IuLNX | 2 |
| 1624145127080951808 | @peterbakernyt @stuartathompson @tiffkhsu Why didn't Stuey mention that the husband (Radislaw Sikorski) of Anne Applebaum, the Atlantic magazine "journalist" who felt the Hunter laptop story wasn't newsworthy, claimed along with … | 1 |
| 1624658762454949889 | @eric_seufert Funny that @tiffkhsu wrote an article on this but didn’t interview the most important expert, Eric Seufert, and didn’t mention ATT once (only an oblique reference to Apple). I … | 1 |
| 1624457131255558144 | @matthewherper @tiffkhsu She does mention Apple briefly. Could probably spend more time on it but I do think the primary issue is overall weak ad market. But also Twitter’s self-starter … | 1 |
| 1624446707592224769 | Curious about this. I thought one reason we were seeing so many bad ads is because of new limitations on ad targeting by Apple and Google.Not mentioned in this @tiffkhsu … | 1 |
| 1624727648994832387 | @PManchanda_ @MichiganRoss @jessicayfong @nytimes Kind of odd that "privacy" changes don't get substantial attention here, which we have good reasons to think produce exactly this.Maybe you mentioned this @jessicayfong when … | 1 |
| 1624728372931616771 | @PManchanda_ @MichiganRoss @jessicayfong @nytimes @tiffkhsu Of course there can be multiple causes here, and presumably the mix is different on Twitter than Instagram. But Apple's ATT clearly importantly affected targeting … | 1 |
Top 10 Tweets by Likes
| ID | Text | Like count |
|---|---|---|
| 1626630431323078657 | This week on Hard Fork, @CaseyNewton and I do a deep dive on my creepy Bing/Sydney encounter. Plus, @ZoeSchiffer joins to discuss Elon's Twitter algorithm changes and @tiffkhsu tells us … | 61 |
| 1624658762454949889 | @eric_seufert Funny that @tiffkhsu wrote an article on this but didn’t interview the most important expert, Eric Seufert, and didn’t mention ATT once (only an oblique reference to Apple). I … | 15 |
| 1624417852005531648 | >> @tiffkhsu writes: "Advancements in digital advertising technology were meant to improve users’ experience… But lately, on several platforms, the opposite seems to be happening…" https://t.co/XoLhvuxCtx | 15 |
| 1624727648994832387 | @PManchanda_ @MichiganRoss @jessicayfong @nytimes Kind of odd that "privacy" changes don't get substantial attention here, which we have good reasons to think produce exactly this.Maybe you mentioned this @jessicayfong when … | 8 |
| 1624728850331578369 | @PManchanda_ @MichiganRoss @jessicayfong @nytimes @tiffkhsu So I would agree with @jessicayfong that some of this is fewer buyers, smaller budgets or bids, but this can be precisely a consequence of … | 8 |
| 1626626464232665094 | @nytimestech @tiffkhsu @stuartathompson How about disinformation coming from your very own reporters? | 7 |
| 1624863617052188672 | How a slowing digital ad market, Apple's ATT changes, tech companies' internal turmoil, weak content moderation, and more are contributing to a junk ad epidemic (@tiffkhsu / New York Times)https://t.co/Js7j768R6ihttps://t.co/sHRB8IuLNX | 6 |
| 1624758533110497282 | @deaneckles @PManchanda_ @MichiganRoss @nytimes @tiffkhsu @garjoh_canuck Completely agree! Privacy changes was the first thing that came to mind when we talked about targeting. We had talked about ads being “bad” … | 4 |
| 1624859509222174721 | @deaneckles @PManchanda_ @MichiganRoss @jessicayfong @nytimes @tiffkhsu @garjoh_canuck This was the first thing that came to my mind as well. I suspect that Jessica discussed that. But journalists often cherry pick … | 4 |
| 1624728372931616771 | @PManchanda_ @MichiganRoss @jessicayfong @nytimes @tiffkhsu Of course there can be multiple causes here, and presumably the mix is different on Twitter than Instagram. But Apple's ATT clearly importantly affected targeting … | 3 |
Top Languages Used
Top 10 Hashtags
| Hashtag | Count |
|---|---|
| #ai | 3 |
| #advertising | 3 |
| #fintech | 2 |
| #artificialintelligence | 2 |
| #machinelearning | 2 |
| #deeplearning | 2 |
| #fakenews | 2 |
| #digital | 2 |
| #deepfakes | 1 |
| #countries | 1 |
Top 10 Mentions
| Mention | Count |
|---|---|
| @tiffkhsu | 83 |
| @stuartathompson | 26 |
| @nytimes | 18 |
| @peterbakernyt | 12 |
| @nytimestech | 9 |
| @jessicayfong | 9 |
| @caseynewton | 7 |
| @pmanchanda_ | 7 |
| @michiganross | 7 |
| @kevinroose | 6 |
Wordcloud of Tweets
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