@tiffkhsu | Tweet Data Analysis

概要

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

要約

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.

トピックモデリング

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

感情分析

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.

トレンド分析

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

免責事項：twtdata.comのテキスト分析はOpenAIを使用しており、twtdata.comまたはその関連会社の見解を代表するものではありません。分析は情報提供のみを目的としており、いかなる見解の支持でもありません。

ツイートの種類

Number of Retweets

16

全体の19%

Number of Original tweets

27

全体の32%

Number of tweets that were Quotes

3

全体の3%

Number of tweets that were Replies

40

全体の48%

Number of tweets that contain Hashtags

13

全体の15%

Number of tweets that contain Mentions

83

全体の100%

ツイートに使用されたデバイス

トップ5デバイス

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

デバイス分布

フォロワー数上位10アカウント

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

フォロー数上位10アカウント

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

最もアクティブなユーザー

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

日別ツイート数

リツイート数上位10ツイート

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

いいね数上位10ツイート

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

使用されている上位言語

トップ10ハッシュタグ

Hashtag	Count
#ai	3
#advertising	3
#fintech	2
#artificialintelligence	2
#machinelearning	2
#deeplearning	2
#fakenews	2
#digital	2
#deepfakes	1
#countries	1

トップ10メンション

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

tiffkhsu - Tweet Data Analysis

概要

要約