Tweets Analysis - Keyword: @m_sendhil
Overview
Total number of tweets analysed
42
Earliest tweet was on
2023-03-17
Latest tweet was on
2023-03-26
Tweets covering
9 days
Average age of authors' accounts
9 years
Summarization
The tweets cover various topics related to the research and work of Sendhil Mullainathan, including his call for papers on AI and economics, his book "Scarcity," his research on mugshots and judge decisions, and his discussion of social media algorithms and biases. There are also discussions on methodology in research and questions about the validity of certain assumptions.
Topic Modeling
- Papers and Workshops on AI and Economics
- Understanding the Impact of Policies on Unemployed Individuals
- Using AI to Analyze Judge Decisions
- Data Sampling and Generalizability in Research
- Social Media Algorithms and Biases
Emotional Analysis
The tweets express emotions of excitement and interest in the upcoming Zurich Workshop on AI + Economics, as well as admiration for the work of economist Sendhil Mullainathan. There is also concern for the impact of policies on individuals out of work, and interest in the use of AI in criminal justice. Other emotions expressed include gratitude for the sharing of research, curiosity about research methodology, and caution about drawing causal conclusions from correlational data.
Trend Analysis
- AI and Economics
- Impacts of Scarcity on Unemployment
- AI and Judge Decisions
- Research Methodology and Generalizability
- Social Media Algorithms and Bias
Types of Tweets
Number of Retweets
18
Percentage of total tweets
42%
Number of Original tweets
9
Percentage of total tweets
21%
Number of tweets that contain Mentions
42
Percentage of total tweets
100%
Number of tweets that were Replies
12
Percentage of total tweets
28%
Number of tweets that were Quotes
5
Percentage of total tweets
11%
Number of tweets that contain Hashtags
1
Percentage of total tweets
2%
Top 5 devices used to tweet
| Source | Count |
|---|---|
| Twitter Web App | 19 |
| Twitter for iPhone | 10 |
| Twitter for Android | 8 |
| Twitter for Advertisers | 4 |
| Buffer | 1 |
What devices were used to tweet
Top 10 accounts with highest followers count
| Username | Name | Bio | Followers count |
|---|---|---|---|
| R_Thaler | Richard H Thaler | Professor of Behavioral Science and Economics, @CDR_Booth, @ChicagoBooth Co-author of Nudge:The Final edition, author of Misbehaving. Slayer of #sludge | 200,790 |
| BeckerFriedman | Becker Friedman Institute for Economics | The Becker Friedman Institute @UChicago supports inquiry on significant economic and policy questions. RT/Follow ≠ endorsement. | 41,313 |
| zoebchance | Zoe Chance | Bestselling author, prof @YaleSOM, married to @AbuLavinia. I study & teach good influence. #behavioralscience #climate #democracy | 10,423 |
| tessvigeland | Tess Vigeland | Veteran radio and podcast host, producer, editor. 2019 Natl Murrow & Gracie awards recipient. Alum @wsj @marketplace. Solo world traveler, diver, photographer. | 8,536 |
| PollardTom | Tom Pollard | Writing about mental health, poverty & social security | Policy, research & campaigns consultant | NHS Mental Health Social Worker | Previously at Mind & DWP | 7,423 |
| press4change | Jeff Ballinger | #Restitution & worker rights struggles Header: Apparel union activists visit soon-2-B EX-Congressman #ClimateEmergency #BLM #ReproductiveJustice #FusionEnergy | 7,029 |
| SMcfarnell | Scott McFarnell | Kent secondary school SENCo. 15 years teaching, 8 in SLT. MA. NASENCo. Interested in how neuroscience can support education. Guitarist 🎸Bowie fan👨🏻🎤 | 7,007 |
| ellliottt | Elliott Ash | Asst Prof @ETH Zurich: Law, Economics, and Data Science. Previously @warwickecon, @PrincetonSPIA, @columbia_econ, @ColumbiaLaw, @UTAustin | 3,803 |
| JaeJaeykim2 | Jae Yeon Kim @jaeyeonkim@fosstodon.org | senior data scientist @codeforamerica | research fellow @SNFAgoraJHU | @UCBerkeley PhD | race, immigration, inequality | runner | 3,684 |
| OlegUrminsky | Oleg Urminsky | Prof @ UChicago Booth. Trying to learn how people think. Not a statistician but not exactly a psychologist either. You kids keep me young. | 3,608 |
Top 10 accounts with highest friends count
| Username | Name | Bio | Followers count |
|---|---|---|---|
| BeckerFriedman | Becker Friedman Institute for Economics | The Becker Friedman Institute @UChicago supports inquiry on significant economic and policy questions. RT/Follow ≠ endorsement. | 10,367 |
| press4change | Jeff Ballinger | #Restitution & worker rights struggles Header: Apparel union activists visit soon-2-B EX-Congressman #ClimateEmergency #BLM #ReproductiveJustice #FusionEnergy | 9,991 |
| SMcfarnell | Scott McFarnell | Kent secondary school SENCo. 15 years teaching, 8 in SLT. MA. NASENCo. Interested in how neuroscience can support education. Guitarist 🎸Bowie fan👨🏻🎤 | 7,617 |
| zoebchance | Zoe Chance | Bestselling author, prof @YaleSOM, married to @AbuLavinia. I study & teach good influence. #behavioralscience #climate #democracy | 6,147 |
| estebanjq3 | Esteban '😷 Bivalent Vax & Test’ J Quiñones, Ph.D. | Development economist, demographer & social scientist @MathematicaNow prior @UW_AAE @UW_CDE @IFPRI @FAO @AmeriCorpsNCCC Anti-fascist Anti-racist he/el 🇺🇸🇪🇨 | 5,000 |
| sebkrier | Séb Krier | international policy/governance @deepmind | vinyl junkie, subculture explorer, deep ArXiv dweller, cynical optimist | 🇮🇷🇱🇺🇬🇧🇫🇷 | 4,866 |
| PollardTom | Tom Pollard | Writing about mental health, poverty & social security | Policy, research & campaigns consultant | NHS Mental Health Social Worker | Previously at Mind & DWP | 2,998 |
| eusouthiago | T | rindo mas preocupado / veg | 2,657 |
| ellliottt | Elliott Ash | Asst Prof @ETH Zurich: Law, Economics, and Data Science. Previously @warwickecon, @PrincetonSPIA, @columbia_econ, @ColumbiaLaw, @UTAustin | 2,577 |
| JhangirShahKaka | Jhangir Kakar | Books lover,blogger,mentor at Bacha Jee Academy Zhob & student of Economics at UCoZ BUITEMS.https://t.co/CqNAOfWzNH Views expressed are personal. | 2,560 |
Most active users
| Username | Bio | Number of tweets |
|---|---|---|
| BeckerFriedman | The Becker Friedman Institute @UChicago supports inquiry on significant economic and policy questions. RT/Follow ≠ endorsement. | 6 |
| OlegUrminsky | Prof @ UChicago Booth. Trying to learn how people think. Not a statistician but not exactly a psychologist either. You kids keep me young. | 3 |
| AICenter_Booth | CAAI incubates transformative projects that fundamentally shape how humans use AI to interact with each other and the world. | 2 |
| tessvigeland | Veteran radio and podcast host, producer, editor. 2019 Natl Murrow & Gracie awards recipient. Alum @wsj @marketplace. Solo world traveler, diver, photographer. | 2 |
| silverrainfalls | I’m into behavioral economics, meteorology, pyrogeography, epidemiology, medical science, psychology, history, political science and so much more. | 1 |
| shivantkr | IG: @skvzuals | Economics + Psychology at UChicago | 1 |
| sebkrier | international policy/governance @deepmind | vinyl junkie, subculture explorer, deep ArXiv dweller, cynical optimist | 🇮🇷🇱🇺🇬🇧🇫🇷 | 1 |
| reiver | Once upon a time was a mathematician, computer scientist, data scientist, software engineer, industrial researcher 🌞 Vlogger 🌞 Behavior, evolution, genetics. | 1 |
| press4change | #Restitution & worker rights struggles Header: Apparel union activists visit soon-2-B EX-Congressman #ClimateEmergency #BLM #ReproductiveJustice #FusionEnergy | 1 |
| crane_leland | Economist. Views are my own, retweets are not endorsements. | 1 |
Tweets per day
Top 10 tweets with highest Retweet count
| ID | Text | Retweet count |
|---|---|---|
| 1638202114643050499 | Call For Papers: 2nd Zurich Workshop in AI+Economics! 🇨🇭🪚🤖+📈 Conf: Sept 29th-30th in Zurich Papers due: May 10th Keynote by @m_sendhil 👀 Submit here: https://t.co/EvjXjuFwS3 Details: https://t.co/w6yg7kQMqk co-organized with @sergallet @YanagizawaD @eth_cle @econ_uzh https://t.co/8Hoc1eVDdK | 62 |
| 1637146025780469761 | Excellent @Samfr piece on how politicians & policymakers fail to understand the adverse impact of putting additional pressure on people who are out of work 'Scarcity' by @m_sendhil & Eldar Shafir should be a set text for anyone working on these issues https://t.co/YLbKXLt7yA | 12 |
| 1636888081155620864 | Interesting thread from @m_sendhil. What do judges see when they look the defendant in the eye? https://t.co/0gW5gbVxU5 | 3 |
| 1638955516914180096 | ICYMI: Social media behaviors, moving at an ever faster pace, may not reflect what users really want, according to new research from @AmandaYAgan & @ChicagoBooth's @m_sendhil. They discuss how algorithms feed off our 'lizard brains' to magnify biases. Listen: | 2 |
| 1638590951047274509 | Ever wonder what determines your Facebook newsfeed content? Your scrolling patterns. On the latest episode of The Pie, @AmandaYAgan and @ChicagoBooth's @m_sendhil join @tessvigeland to discuss why this is a problem. Listen/subscribe: | 2 |
| 1638286869921185796 | Are you curating a biased news feed? Don't miss the latest episode of The Pie with host @tessvigeland and guests @AmandaYAgan & @m_sendhil for the answer to this question and more! https://t.co/lW9gGXMrhK | 1 |
| 1636741195136204800 | NEW - @profjensludwig & @m_sendhil find that a single factor is heavily related to who gets jailed: the defendant’s mugshot. They use AI to determine how mugshots explain ⅓-½ of the variation in judge decisions, and can generate more novel hypotheses. https://t.co/3QmM89SDO4 https://t.co/yH728LYgTC | 1 |
| 1636737854440108035 | @RafMBatista @lakens @uri_sohn @jpsimmon @m_sendhil @betsylevyp @alexoimas I think there are two parts here. First, it depends a lot on the generalizability goals of the research. Narrow "existence proof" claims typically involve non-representative sampling of measures/stimuli. Of course, generalizability may later be assumed, which is bad. | 0 |
| 1636738242643886081 | @RafMBatista @lakens @uri_sohn @jpsimmon @m_sendhil @betsylevyp @alexoimas Second is the distinction between horizontal and vertical differentiation. When there is a clear quality difference, we should use the better methods. But when methods differ in potential for different kinds of errors, we should sample broadly and representatively, if possible. | 0 |
| 1636738426920738817 | @RafMBatista @lakens @uri_sohn @jpsimmon @m_sendhil @betsylevyp @alexoimas And I'll add a third point -- everything should be reported in an appendix, so that the reader can re-evaluate and make up their own mind. | 0 |
Top 10 tweets with highest Like count
| ID | Text | Like count |
|---|---|---|
| 1638202114643050499 | Call For Papers: 2nd Zurich Workshop in AI+Economics! 🇨🇭🪚🤖+📈 Conf: Sept 29th-30th in Zurich Papers due: May 10th Keynote by @m_sendhil 👀 Submit here: https://t.co/EvjXjuFwS3 Details: https://t.co/w6yg7kQMqk co-organized with @sergallet @YanagizawaD @eth_cle @econ_uzh https://t.co/8Hoc1eVDdK | 175 |
| 1637146025780469761 | Excellent @Samfr piece on how politicians & policymakers fail to understand the adverse impact of putting additional pressure on people who are out of work 'Scarcity' by @m_sendhil & Eldar Shafir should be a set text for anyone working on these issues https://t.co/YLbKXLt7yA | 33 |
| 1636888081155620864 | Interesting thread from @m_sendhil. What do judges see when they look the defendant in the eye? https://t.co/0gW5gbVxU5 | 28 |
| 1636741195136204800 | NEW - @profjensludwig & @m_sendhil find that a single factor is heavily related to who gets jailed: the defendant’s mugshot. They use AI to determine how mugshots explain ⅓-½ of the variation in judge decisions, and can generate more novel hypotheses. https://t.co/3QmM89SDO4 https://t.co/yH728LYgTC | 3 |
| 1636738426920738817 | @RafMBatista @lakens @uri_sohn @jpsimmon @m_sendhil @betsylevyp @alexoimas And I'll add a third point -- everything should be reported in an appendix, so that the reader can re-evaluate and make up their own mind. | 2 |
| 1636800833399422995 | @RafMBatista @ShaneFs5cents @m_sendhil @profjensludwig this paper is GREAT, @RafMBatista, and i hadn't seen it. thank you!! | 2 |
| 1638269251164295184 | FINDING: How can AI help generate novel hypotheses? @HarrisPolicy's @profjensludwig & @ChicagoBooth's @m_sendhil demonstrate, finding that mugshots explain ⅓-½ of the predictable variation in judge decisions. https://t.co/wQMyUW3Yp2 https://t.co/rbKWaFeBMo | 2 |
| 1636737854440108035 | @RafMBatista @lakens @uri_sohn @jpsimmon @m_sendhil @betsylevyp @alexoimas I think there are two parts here. First, it depends a lot on the generalizability goals of the research. Narrow "existence proof" claims typically involve non-representative sampling of measures/stimuli. Of course, generalizability may later be assumed, which is bad. | 1 |
| 1636738242643886081 | @RafMBatista @lakens @uri_sohn @jpsimmon @m_sendhil @betsylevyp @alexoimas Second is the distinction between horizontal and vertical differentiation. When there is a clear quality difference, we should use the better methods. But when methods differ in potential for different kinds of errors, we should sample broadly and representatively, if possible. | 1 |
| 1636776485196537856 | @instrumenthull @gjgeorgiadis @m_sendhil @Susan_Athey @peterbergman_ @manish_raghavan @ChenhaoTan Peter, Sendhil, et al.,is the 2020 year of Ph.D. completion a hard cutoff or not necessarily? (Asking for 2019!) https://t.co/OwDTo4LsYt | 1 |
Top 3 Languages Used In Tweets
Top 10 Hashtags used
| Hashtag | Count |
|---|---|
| #pakistan | 1 |
Top 10 Hashtags Used In Tweets
Top 10 mentions
| Mention | Count |
|---|---|
| @m_sendhil | 42 |
| @amandayagan | 9 |
| @chicagobooth | 7 |
| @profjensludwig | 6 |
| @sergallet | 5 |
| @yanagizawad | 5 |
| @eth_cle | 5 |
| @econ_uzh | 5 |
| @tessvigeland | 5 |
| @beckerfriedman | 5 |
Top 10 mentions
Wordcloud of Tweets
Emojis
Average number of emojis used per tweet
38
Emojis used in tweets
| Emoji | Count | Emoji Text |
|---|---|---|
| 👀 | 4 | eyes |
| 🇨🇭 | 2 | Switzerland |
| 🪚 | 2 | carpentry_saw |
| 🤖 | 2 | robot |
| 📈 | 2 | chart_increasing |
| 🧵 | 2 | thread |
| 👋 | 1 | waving_hand |
| 👇 | 1 | backhand_index_pointing_down |
Emojis groups
| Emoji Group | Count |
|---|---|
| People & Body | 6 |
| Objects | 4 |
| Flags | 2 |
| Smileys & Emotion | 2 |
| Activities | 2 |