Tweets Analysis - Keyword: @betsylevyp
Overview
Total number of tweets analysed
13
Earliest tweet was on
2023-03-17
Latest tweet was on
2023-03-21
Tweets covering
4 days
Average age of authors' accounts
11 years
Summarization
The tweets cover various topics related to empirical research, including the importance of understanding human behavior, the potential for selective reporting of data, the need for rigorous testing in science, and the role of generalizability in research. Some tweets reference specific papers and researchers, and others offer opinions on research practices and methodologies. Ultimately, the tweets highlight the complexities and challenges of conducting and interpreting empirical research.
Topic Modeling
- Behavioral economics and psychology
- Research methodology
- Data analysis and reporting
- Sampling techniques
- Generalizability and validity
Emotional Analysis
The tweets mainly express academic discussions and debates on research methodology and reporting. There is no strong emotional tone present in these tweets. However, there seems to be a sense of intellectual curiosity and a desire for scientific rigor and objectivity in the conversations.
Trend Analysis
- Behavioral economics: Several tweets mention or tag experts in behavioral economics including Cass Sunstein, Richard Thaler, Adam Grant, and Betsy Levy Paluck.
- Scientific methodology: A number of tweets discuss scientific methodology, particularly the issue of selective reporting in research.
- Social psychology: A few tweets touch on topics related to social psychology, such as how survey questions are responded to, the importance of human behavior in marketing, and the idea of horizontal and vertical differentiation.
- Academic discourse: Many of the tweets are part of an ongoing academic discussion, with individuals responding to or commenting on each other's research.
- Generalizability: A few tweets mention issues related to generalizability in research, including the importance of representative sampling and the potential for assumptions of generalizability to be problematic.
Types of Tweets
Number of Retweets
0
Percentage of total tweets
0%
Number of Original tweets
0
Percentage of total tweets
0%
Number of tweets that contain Mentions
13
Percentage of total tweets
100%
Number of tweets that were Replies
13
Percentage of total tweets
100%
Number of tweets that were Quotes
1
Percentage of total tweets
7%
Number of tweets that contain Hashtags
0
Percentage of total tweets
0%
Top 5 devices used to tweet
| Source | Count |
|---|---|
| Twitter Web App | 10 |
| Twitter for Android | 2 |
| Twitter for iPhone | 1 |
What devices were used to tweet
Top 10 accounts with highest followers count
| Username | Name | Bio | Followers count |
|---|---|---|---|
| lakens | Daniรซl Lakens @lakens@mastodon.social | Mostly active on @lakens@mastodon.social. If you want to interact with me, please join Mastodon, it is nicer there. Experimental Psychologist @TUeindhoven. | 28,401 |
| RobertLepenies | Robert Lepenies | University President & Professor @karlshochschule #Sustainability #Scicomm #SDGs #Water #Nudging #Karlsruhe #Berlin #Brussels @GlobalYAcademy. Dad of 3. | 9,850 |
| JohnSakaluk | ๐งช๐ก๏ธโค๏ธ๐๏ธJohn Sakaluk๐๏ธโค๏ธ๐ก๏ธ๐งช | He/Him. Sexuality, relationships, & methods. Assistant Professor (@MaRSS_Lab) at @westernuSocSci/@westernuPsych. KU/Guelph Alum. JSR Registered Reports Editor | 3,777 |
| 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. | 3,606 |
| RafMBatista | ๐๐๐๐๐๐ ๐ผ ๐ฑ๐๐๐๐๐๐ | PhD Student @ChicagoBooth. #BehSci w/ a dash of CB, econ, policy, AI. Thinking (& tweeting) about everyday decisions & experiences. | 3,148 |
| danielmabuse | daniel read ๐ ๐จ๐ฆ | Behavioural Scientist working at University of Warwick. Charter member, Nudgeaholics Anonymous | 2,408 |
| ianhussey | Ian Hussey | Meta-scientist and behaviorist studying the behavior of scientists. โJumped-up punk who hasnโt earned his stripes.โ All views a product of my learning history. | 2,174 |
| AaronCharlton | Aaron Charlton โช | Analyst/marketer working in healthcare. Former academic. I maintain https://t.co/EmF8Uyasxx which aims to improve evidence quality in marketing research. | 930 |
| MinduWangd23404 | Mindu Wangdi | I did serve in govt office for 15 years and now want to be a educated farmer in Bhutan. I am interested in teaching Buddhism too. | 6 |
Top 10 accounts with highest friends count
| Username | Name | Bio | Followers count |
|---|---|---|---|
| RobertLepenies | Robert Lepenies | University President & Professor @karlshochschule #Sustainability #Scicomm #SDGs #Water #Nudging #Karlsruhe #Berlin #Brussels @GlobalYAcademy. Dad of 3. | 9,958 |
| JohnSakaluk | ๐งช๐ก๏ธโค๏ธ๐๏ธJohn Sakaluk๐๏ธโค๏ธ๐ก๏ธ๐งช | He/Him. Sexuality, relationships, & methods. Assistant Professor (@MaRSS_Lab) at @westernuSocSci/@westernuPsych. KU/Guelph Alum. JSR Registered Reports Editor | 3,197 |
| ianhussey | Ian Hussey | Meta-scientist and behaviorist studying the behavior of scientists. โJumped-up punk who hasnโt earned his stripes.โ All views a product of my learning history. | 1,748 |
| 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. | 1,720 |
| lakens | Daniรซl Lakens @lakens@mastodon.social | Mostly active on @lakens@mastodon.social. If you want to interact with me, please join Mastodon, it is nicer there. Experimental Psychologist @TUeindhoven. | 1,467 |
| danielmabuse | daniel read ๐ ๐จ๐ฆ | Behavioural Scientist working at University of Warwick. Charter member, Nudgeaholics Anonymous | 1,353 |
| RafMBatista | ๐๐๐๐๐๐ ๐ผ ๐ฑ๐๐๐๐๐๐ | PhD Student @ChicagoBooth. #BehSci w/ a dash of CB, econ, policy, AI. Thinking (& tweeting) about everyday decisions & experiences. | 1,097 |
| AaronCharlton | Aaron Charlton โช | Analyst/marketer working in healthcare. Former academic. I maintain https://t.co/EmF8Uyasxx which aims to improve evidence quality in marketing research. | 348 |
| MinduWangd23404 | Mindu Wangdi | I did serve in govt office for 15 years and now want to be a educated farmer in Bhutan. I am interested in teaching Buddhism too. | 75 |
Most active users
| Username | Bio | Number of tweets |
|---|---|---|
| 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 |
| lakens | Mostly active on @lakens@mastodon.social. If you want to interact with me, please join Mastodon, it is nicer there. Experimental Psychologist @TUeindhoven. | 3 |
| AaronCharlton | Analyst/marketer working in healthcare. Former academic. I maintain https://t.co/EmF8Uyasxx which aims to improve evidence quality in marketing research. | 1 |
| JohnSakaluk | He/Him. Sexuality, relationships, & methods. Assistant Professor (@MaRSS_Lab) at @westernuSocSci/@westernuPsych. KU/Guelph Alum. JSR Registered Reports Editor | 1 |
| MinduWangd23404 | I did serve in govt office for 15 years and now want to be a educated farmer in Bhutan. I am interested in teaching Buddhism too. | 1 |
| RafMBatista | PhD Student @ChicagoBooth. #BehSci w/ a dash of CB, econ, policy, AI. Thinking (& tweeting) about everyday decisions & experiences. | 1 |
| RobertLepenies | University President & Professor @karlshochschule #Sustainability #Scicomm #SDGs #Water #Nudging #Karlsruhe #Berlin #Brussels @GlobalYAcademy. Dad of 3. | 1 |
| danielmabuse | Behavioural Scientist working at University of Warwick. Charter member, Nudgeaholics Anonymous | 1 |
| ianhussey | Meta-scientist and behaviorist studying the behavior of scientists. โJumped-up punk who hasnโt earned his stripes.โ All views a product of my learning history. | 1 |
Tweets per day
Top 10 tweets with highest Retweet count
| ID | Text | Retweet count |
|---|---|---|
| 1638325186939310081 | @mhallsworth @NatureHumBehav @B_I_Tweets @CassSunstein @R_Thaler @SusanMichie @katy_milkman @AdamMGrant @dilipsoman @DavidHalpernCEO @betsylevyp @NeilLewisJr Congrats looking forward to engageโฆ | 0 |
| 1638202997770698753 | @ianhussey @JohnSakaluk @maltoesermalte @betsylevyp The author's statement implies that they don't understand either (a) how little thought participants put into responding to survey questions or (b) how much of the context available to the researcher is not available to the participant. | 0 |
| 1638201297970003970 | @JohnSakaluk @maltoesermalte @AaronCharlton @betsylevyp Maybe it's worth saying that my point is basically the authors' own point. I guess they see it as making this interesting, whereas I see it as making it not interesting. https://t.co/8SLiKwUPPI | 0 |
| 1638197877070520320 | @ianhussey @maltoesermalte @AaronCharlton Yeah, or check out others. Recent from same lab: https://t.co/dbQHc70OSL. Recent (and triple badger) from a different group (incl. @betsylevyp): https://t.co/2mthYnETPD] Of the two, I think the second packs a bigger punch with more convincing data/designs. | 0 |
| 1638070421776990208 | @mhallsworth @NatureHumBehav @B_I_Tweets @CassSunstein @R_Thaler @SusanMichie @katy_milkman @AdamMGrant @dilipsoman @DavidHalpernCEO @betsylevyp @NeilLewisJr Human behavior is key point to tap for business success and marketing as per their desire. As human mind changes every moment and we need to go according to their hopes and expecting targets. | 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 |
| 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 |
| 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 |
| 1636667523029508099 | @danielmabuse @RafMBatista @OlegUrminsky @uri_sohn @jpsimmon @m_sendhil @betsylevyp @alexoimas In the end we will never know if in this specific instance your biases got the better of you, or if you stumbled across the truth. It also does not matter. Science (for some) is about a method that restricts fooling ourselves. Selective testing does not guarantee this. | 0 |
| 1636667125342298113 | @RafMBatista @OlegUrminsky @uri_sohn @jpsimmon @m_sendhil @betsylevyp @alexoimas Any scientist is free to do exactly what you described (and sometimes, they have no other option). But they did not severely test their claims. This is something some value in science (and have good reason to value). Selective reporting is threatens severity. | 0 |
Top 10 tweets with highest Like count
| ID | Text | Like count |
|---|---|---|
| 1638325186939310081 | @mhallsworth @NatureHumBehav @B_I_Tweets @CassSunstein @R_Thaler @SusanMichie @katy_milkman @AdamMGrant @dilipsoman @DavidHalpernCEO @betsylevyp @NeilLewisJr Congrats looking forward to engageโฆ | 2 |
| 1638202997770698753 | @ianhussey @JohnSakaluk @maltoesermalte @betsylevyp The author's statement implies that they don't understand either (a) how little thought participants put into responding to survey questions or (b) how much of the context available to the researcher is not available to the participant. | 2 |
| 1638070421776990208 | @mhallsworth @NatureHumBehav @B_I_Tweets @CassSunstein @R_Thaler @SusanMichie @katy_milkman @AdamMGrant @dilipsoman @DavidHalpernCEO @betsylevyp @NeilLewisJr Human behavior is key point to tap for business success and marketing as per their desire. As human mind changes every moment and we need to go according to their hopes and expecting targets. | 2 |
| 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 |
| 1636667523029508099 | @danielmabuse @RafMBatista @OlegUrminsky @uri_sohn @jpsimmon @m_sendhil @betsylevyp @alexoimas In the end we will never know if in this specific instance your biases got the better of you, or if you stumbled across the truth. It also does not matter. Science (for some) is about a method that restricts fooling ourselves. Selective testing does not guarantee this. | 2 |
| 1636665636645380096 | I get that this is a charitable interpretation of what happens in empirical research, but I'm especially curious about selective reporting *given* non-random selection of measures & paradigms cc: @OlegUrminsky @lakens @uri_sohn @jpsimmon @m_sendhil @betsylevyp @alexoimas | 2 |
| 1638197877070520320 | @ianhussey @maltoesermalte @AaronCharlton Yeah, or check out others. Recent from same lab: https://t.co/dbQHc70OSL. Recent (and triple badger) from a different group (incl. @betsylevyp): https://t.co/2mthYnETPD] Of the two, I think the second packs a bigger punch with more convincing data/designs. | 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 |
| 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 |
| 1636666952558034945 | @RafMBatista @OlegUrminsky @lakens @uri_sohn @jpsimmon @m_sendhil @betsylevyp @alexoimas I would say that as long as it is in your interest to report some weights rather than others, you will selectively report the weights that are in your favour, even if you "believe" you are being objective. | 1 |
Top 3 Languages Used In Tweets
Top 10 mentions
| Mention | Count |
|---|---|
| @betsylevyp | 13 |
| @uri_sohn | 8 |
| @jpsimmon | 8 |
| @m_sendhil | 8 |
| @alexoimas | 8 |
| @rafmbatista | 7 |
| @lakens | 5 |
| @olegurminsky | 5 |
| @maltoesermalte | 3 |
| @mhallsworth | 2 |
Top 10 mentions
Wordcloud of Tweets
