tiffkhsu - Tweet Data Analysis

Tweets Analysis - Keyword: @tiffkhsu

Publicado el 08/03/2023

Resumen

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

Resumen

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.

Modelado de Temas

  • 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

Análisis de Sentimientos

The emotions expressed in these tweets range from frustration to disbelief. Many of the tweets criticize the New York Times and its reporters for not providing accurate information or omitting important details. There is also criticism of tech companies for contributing to a "junk ad epidemic" and for not adequately addressing privacy changes. Additionally, there is some frustration with the lack of quality ads, as well as the spread of disinformation. Overall, the tweets express a sense of distrust and disappointment in the tech industry and its ability to protect users.

Análisis de Tendencias

  • Digital Advertising Technology
  • Apple's ATT Changes
  • Ad Budget or Bids
  • Privacy and Behavioral Targeting
  • Disinformation and False Equivalency

Descargo de responsabilidad: El análisis de texto de twtdata.com utiliza OpenAI y no representa las opiniones de twtdata.com o sus afiliados. El análisis es solo para fines informativos y no constituye un respaldo de ninguna opinión.

Tipos de Tweets

Number of Retweets

16

19% del total

Number of Original tweets

27

32% del total

Number of tweets that were Quotes

3

3% del total

Number of tweets that were Replies

40

48% del total

Number of tweets that contain Hashtags

13

15% del total

Number of tweets that contain Mentions

83

100% del total

Dispositivos Utilizados para Tuitear

Top 5 Dispositivos

Source Count
Twitter Web App 30
Twitter for iPhone 24
Twitter for Android 15
Techmeme Editors 6
Buffer 5

Distribución de Dispositivos

Dispositivos utilizados para tuitear

Top 10 Cuentas por Seguidores

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 Cuentas por Seguidos

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

Usuarios Más Activos

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 por Día

Gráfico de tweets por día

Top 10 Tweets por 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 por Me Gusta

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

Idiomas Principales Utilizados

Idiomas utilizados en los tweets

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 hashtags

Top 10 Menciones

Mention Count
@tiffkhsu 83
@stuartathompson 26
@nytimes 18
@peterbakernyt 12
@nytimestech 9
@jessicayfong 9
@caseynewton 7
@pmanchanda_ 7
@michiganross 7
@kevinroose 6
Top menciones

Nube de Palabras de los Tweets

Nube de palabras de los tweets

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