Tweets Analysis - Keyword: @speechwoman
Overview
Total number of tweets analysed
14
Earliest tweet was on
2023-03-18
Latest tweet was on
2023-03-25
Tweets covering
7 days
Average age of authors' accounts
10 years
Summarization
This summary includes a mixture of tweets, but the main points are: - A free online resource on evaluating research is recommended for those with limited experience in research methods. - A study suggests a correlation between dysphonia severity and control of vocal onset during speech production. - Some Twitter accounts are being recommended to follow. - There is a discussion about the effectiveness of human vs AI copy editors, which leads to a discussion about which programs work best for editing. - There is a mention of issues with file creation.
Topic Modeling
- Evaluating research methods
- Relationship between dysphonia severity and vocal control
- User appreciation/mention
- Editing and copy-editing
- Technical issues with file creation
Emotional Analysis
The emotions expressed in these tweets are positive and appreciative. The first tweet expresses gratitude for a free online resource on evaluating research. The second tweet shares a research finding related to speech and dysphonia. The third tweet is a shout out to several people on Twitter. The fourth tweet emphasizes the superiority of humans in certain tasks. The following tweets express thanks and a discussion about the effectiveness of copy-editing programs.
Trend Analysis
- Evaluating research methods
- Dysphonia severity and control of vocal onset in children with vocal fold nodules
- Following and recommending other professionals on Twitter
- Comparing human versus AI copy editing
- Issues with file creation and editing
Types of Tweets
Number of Retweets
6
Percentage of total tweets
42%
Number of Original tweets
2
Percentage of total tweets
14%
Number of tweets that contain Mentions
14
Percentage of total tweets
100%
Number of tweets that were Replies
5
Percentage of total tweets
35%
Number of tweets that were Quotes
3
Percentage of total tweets
21%
Number of tweets that contain Hashtags
4
Percentage of total tweets
28%
Top 5 devices used to tweet
| Source | Count |
|---|---|
| Twitter for iPhone | 6 |
| Twitter Web App | 5 |
| TweetDeck | 1 |
| Sprout Social | 1 |
| Twitter for Android | 1 |
What devices were used to tweet
Top 10 accounts with highest followers count
| Username | Name | Bio | Followers count |
|---|---|---|---|
| deevybee | Dorothy Bishop | Prof of developmental neuropsychology. Blog on https://t.co/0YUzVrr2zO Main focus #devlangdis, see: https://t.co/86XnDV9YlP On Mastodon as @deevybee@mastodon.social | 39,730 |
| PamelaSnow2 | Pamela Snow | Professor of Cog Psychology, La Trobe Uni. CoDirector #SOLARLab; Psych & Speech Path. Language, literacy, at-risk children & adolescents. Views mine. RT≠endorse | 21,076 |
| ASHAJournals | ASHA Journals | Discover more from ASHA's high-impact research journals: AJA, AJSLP, JSLHR, & LSHSS. Now continuously published on the ASHAWire platform. Also, @SIGPerspectives | 16,982 |
| BronwynHemsley | Prof BronwynHemsley | - | 10,034 |
| tricmc | Dr Tricia McCabe (she/her) @Tricmc@mastodon.au | Gadigal/Wangal country. Professor of Speech Pathology. Usually trying to put an octopus in a string bag https://t.co/u0zsywAJKY #apraxia #slp #phonology | 6,422 |
| SIGPerspectives | SIGPerspectives | Official Twitter account of Perspectives, a publication of ASHA's Special Interest Groups. | 2,402 |
| SuzAdlof | Suzanne Adlof | Language and reading development and disorders| #DevLangDis #DLD #SLI #dyslexia #EBP| Academic mama | 1,827 |
| CumbriaLancsAHP | CAHPR CumbriaLancs | Cumbria & Lancashire Research Hub - supporting prospective & established AHP Researchers. | 1,369 |
| NTTTClaudia | Dr. Claudia Blankenstijn | Klinische Psycholinguïstiek | Speech-Language Pathologist | Narratieve Taal-Teken-Therapie® | Narrative Language Therapy® | The Netherlands | 870 |
| HVDL_Foundation | HVDL Foundation | #devlangdis research fund based on the legacy of the late Prof Heather van der Lely. @protoword tweeting | 457 |
Top 10 accounts with highest friends count
| Username | Name | Bio | Followers count |
|---|---|---|---|
| ASHAJournals | ASHA Journals | Discover more from ASHA's high-impact research journals: AJA, AJSLP, JSLHR, & LSHSS. Now continuously published on the ASHAWire platform. Also, @SIGPerspectives | 15,374 |
| BronwynHemsley | Prof BronwynHemsley | - | 5,882 |
| tricmc | Dr Tricia McCabe (she/her) @Tricmc@mastodon.au | Gadigal/Wangal country. Professor of Speech Pathology. Usually trying to put an octopus in a string bag https://t.co/u0zsywAJKY #apraxia #slp #phonology | 1,865 |
| NTTTClaudia | Dr. Claudia Blankenstijn | Klinische Psycholinguïstiek | Speech-Language Pathologist | Narratieve Taal-Teken-Therapie® | Narrative Language Therapy® | The Netherlands | 1,662 |
| SuzAdlof | Suzanne Adlof | Language and reading development and disorders| #DevLangDis #DLD #SLI #dyslexia #EBP| Academic mama | 1,285 |
| PamelaSnow2 | Pamela Snow | Professor of Cog Psychology, La Trobe Uni. CoDirector #SOLARLab; Psych & Speech Path. Language, literacy, at-risk children & adolescents. Views mine. RT≠endorse | 1,169 |
| deevybee | Dorothy Bishop | Prof of developmental neuropsychology. Blog on https://t.co/0YUzVrr2zO Main focus #devlangdis, see: https://t.co/86XnDV9YlP On Mastodon as @deevybee@mastodon.social | 799 |
| SIGPerspectives | SIGPerspectives | Official Twitter account of Perspectives, a publication of ASHA's Special Interest Groups. | 654 |
| HVDL_Foundation | HVDL Foundation | #devlangdis research fund based on the legacy of the late Prof Heather van der Lely. @protoword tweeting | 527 |
| CumbriaLancsAHP | CAHPR CumbriaLancs | Cumbria & Lancashire Research Hub - supporting prospective & established AHP Researchers. | 224 |
Most active users
| Username | Bio | Number of tweets |
|---|---|---|
| AltB56073878 | Communication rights, autism, evidence-based instruction, piano, long-distance running | 2 |
| PamelaSnow2 | Professor of Cog Psychology, La Trobe Uni. CoDirector #SOLARLab; Psych & Speech Path. Language, literacy, at-risk children & adolescents. Views mine. RT≠endorse | 2 |
| ASHAJournals | Discover more from ASHA's high-impact research journals: AJA, AJSLP, JSLHR, & LSHSS. Now continuously published on the ASHAWire platform. Also, @SIGPerspectives | 1 |
| BronwynHemsley | - | 1 |
| CumbriaLancsAHP | Cumbria & Lancashire Research Hub - supporting prospective & established AHP Researchers. | 1 |
| HVDL_Foundation | #devlangdis research fund based on the legacy of the late Prof Heather van der Lely. @protoword tweeting | 1 |
| NTTTClaudia | Klinische Psycholinguïstiek | Speech-Language Pathologist | Narratieve Taal-Teken-Therapie® | Narrative Language Therapy® | The Netherlands | 1 |
| SIGPerspectives | Official Twitter account of Perspectives, a publication of ASHA's Special Interest Groups. | 1 |
| SuzAdlof | Language and reading development and disorders| #DevLangDis #DLD #SLI #dyslexia #EBP| Academic mama | 1 |
| blabcheryl | wife, mother, blabber expert, word nerd, hockey parent | 1 |
Tweets per day
Top 10 tweets with highest Retweet count
| ID | Text | Retweet count |
|---|---|---|
| 1637043060134793219 | This looks like a fabulous *free* online resource on evaluating research, esp for those with limited or no background in research methods. So generous of you @deevybee & Paul Thompson and thanks for alerting me to it @speechwoman 👏 https://t.co/IPemR5n7Pp | 11 |
| 1638310534066970624 | In #JSLHR: Children w/vocal fold nodules who were more dysphonic had increased VOT variability, suggesting a relationship between #dysphonia severity & control of vocal onset during #speech production. https://t.co/2ZinfVAYID @CSDisseminate @SIGPerspectives @speechwoman #SLPeeps https://t.co/Uof1YxFnCR | 2 |
| 1639190997254180864 | #ff @VernonLinda @ClareTaylorBU @DrWMB @physioralph @S_tunstall @MaryBoothOT @JulsReynolds @Sleddingfreya @speechwoman @swallowstudySLP @slthannah | 0 |
| 1638141714727567360 | @speechwoman I’ve had some bad experiences with human copy editors. They seem to prefer to mess with content rather than comb for typos (after all, who enjoys doing that?) and, bc they often don’t read carefully enough (or know English well enough), often introduce new errors in the process. | 0 |
| 1638134541406859264 | @speechwoman @AltB56073878 Humans do a much better, and more interesting, job. | 0 |
| 1638124385016991746 | @speechwoman Which program did you use? I’ve only tried ChatGPT. I’ve seen it make bad papers better & good papers worse. And I’ve seen it eliminate typos & grammar errors, but only if it rewrites everything. Pure copy-editing somehow eludes it. Yet that’s where many of us need it the most! | 0 |
| 1637419374729478144 | @speechwoman Yes, that's because the files were not created. | 0 |
| 1637167321969053697 | @PamelaSnow2 @deevybee @speechwoman Thanks! | 0 |
Top 10 tweets with highest Like count
| ID | Text | Like count |
|---|---|---|
| 1637043060134793219 | This looks like a fabulous *free* online resource on evaluating research, esp for those with limited or no background in research methods. So generous of you @deevybee & Paul Thompson and thanks for alerting me to it @speechwoman 👏 https://t.co/IPemR5n7Pp | 38 |
| 1638310534066970624 | In #JSLHR: Children w/vocal fold nodules who were more dysphonic had increased VOT variability, suggesting a relationship between #dysphonia severity & control of vocal onset during #speech production. https://t.co/2ZinfVAYID @CSDisseminate @SIGPerspectives @speechwoman #SLPeeps https://t.co/Uof1YxFnCR | 6 |
| 1639190997254180864 | #ff @VernonLinda @ClareTaylorBU @DrWMB @physioralph @S_tunstall @MaryBoothOT @JulsReynolds @Sleddingfreya @speechwoman @swallowstudySLP @slthannah | 2 |
| 1638134541406859264 | @speechwoman @AltB56073878 Humans do a much better, and more interesting, job. | 1 |
| 1637167321969053697 | @PamelaSnow2 @deevybee @speechwoman Thanks! | 1 |
| 1638141714727567360 | @speechwoman I’ve had some bad experiences with human copy editors. They seem to prefer to mess with content rather than comb for typos (after all, who enjoys doing that?) and, bc they often don’t read carefully enough (or know English well enough), often introduce new errors in the process. | 0 |
| 1638124385016991746 | @speechwoman Which program did you use? I’ve only tried ChatGPT. I’ve seen it make bad papers better & good papers worse. And I’ve seen it eliminate typos & grammar errors, but only if it rewrites everything. Pure copy-editing somehow eludes it. Yet that’s where many of us need it the most! | 0 |
| 1637419374729478144 | @speechwoman Yes, that's because the files were not created. | 0 |
Top 3 Languages Used In Tweets
Top 10 Hashtags used
| Hashtag | Count |
|---|---|
| #jslhr | 2 |
| #dysphonia | 2 |
| #speech | 2 |
| #slpeeps | 2 |
| #ff | 1 |
| #openaccess | 1 |
| #paulathompson | 1 |
Top 10 Hashtags Used In Tweets
Top 10 mentions
| Mention | Count |
|---|---|
| @speechwoman | 14 |
| @deevybee | 4 |
| @pamelasnow2 | 3 |
| @ashajournals | 2 |
| @csdisseminate | 2 |
| @sigperspectives | 2 |
| @altb56073878 | 2 |
| @vernonlinda | 1 |
| @claretaylorbu | 1 |
| @drwmb | 1 |
Top 10 mentions
Wordcloud of Tweets
Emojis
Average number of emojis used per tweet
92
Emojis used in tweets
| Emoji | Count | Emoji Text |
|---|---|---|
| 🎉 | 3 | party_popper |
| ➕ | 2 | plus |
| 👏 | 2 | clapping_hands |
| 🧨 | 1 | firecracker |
| 🎥 | 1 | movie_camera |
| 🎞️ | 1 | film_frames |
| 🆓 | 1 | FREE_button |
| ❗ | 1 | red_exclamation_mark |
| 🥳 | 1 | partying_face |
Emojis groups
| Emoji Group | Count |
|---|---|
| Activities | 4 |
| Symbols | 4 |
| Objects | 2 |
| People & Body | 2 |
| Smileys & Emotion | 1 |