linguistic final report
aaronyuan
Participants_SpeakerProfession.pptx
Speaker Profession
Xiomara Mejia, Melanie Sanoff, Claudia Lemanski, Zijie Yuan, Angelique Desjardins, Martin Prokai, Gabrielle Peterson Chidera Udeh
Crystal Akers () - Add your name to the group's slide, and someone should write the research question here.
What is the exact wording of the research question(s) you would like to investigate?
What kind of study do you propose?
Are you analyzing screen data? Conducting interviews? Presenting an experimental survey with a stimulus you've designed?
What is your hypothesis?
How does your study relate to our course?
Consider connections to methods of the study, the linguistic variable in the study (words? phrasing? sounds?) and how the social factor you've selected into (Participants/ Setting / Topic/ Function) relates to linguistic variable.
Crystal Akers () - Use your responses from Collab 3 to ensure some consensus on these questions. Then, each person should post a new slide, following the instructions in Collab 4.
Research Question
How does the profession of a speaker influence their formality on social media platforms?
Crystal Akers () - Just go with it! :)
MELANIE SANOFF () - Is everyone okay with this final question?
ANGELIQUE DESJARDINS () - I like this form of the question!
Hypothesis
If the formality of a speaker on social media is greater, then their profession is more formal than someone with less formal speaking.
This will be seen in the data through:
Number of sentences
Hashtags
Word choice
Emojis
etc.
Crystal Akers () - Everyone can add their own slides showing different screen data accounts and how they are analyzed. See Xio's slides for some examples of how this can work.
Study Type
Analysis of screen data (Twitter Data)
Data Collection
Collect Data from social media
Twitter/Facebook
Collection of:
Number of Abbreviation
Number of Emojis used
Punctuation
Grammar (Errors made)
Complexity of Words chosen
Ex: Would someone with no higher education be able to understand a politician's word choices without the help of a dictionary.
Crystal Akers () - Analyze these sample slides. What linguistic data do you receive from them? Showing a table would be great to let your viewers understand what you're examining (say, # of words/sentence?) and what the exact figures are (how many words/sentence, precisely?)
Data
| Twitter Handle | Total # sentences in set | Total # of words in set | Total # of hashtags in set | Total # of emoji in set | Total # of abbreviations in set | Grammar Errors in set | Punctuation in set |
| Cristine Rotenberg @nailogical | 2 | 19 | 0 | 3 | 1 | 1 | 0 |
| Governor Phil Murphy @GovMurphy | 5 | 87 | 0 | 0 | 0 | 0 | 5 |
Politicians vs Celebrities
Politicians tweets vs Celebrity tweets
We are not in great shape .
·22h
There are people today who may well have symptoms of coronavirus, but who have to go to work because they don’t have any paid family or medical leave. How does that happen in the richest country in the history of the world?
Comparison of Tweets related to Coronavirus
Politicians: @GavinNewsom: NEW: CA has 28,963 confirmed positive cases of #COVID19. 3,221 of those cases are in our hospitals. 1,173 of those are in the ICU. We have now tragically lost 1,072 people in the state of CA to this disease. We MUST continue to take this seriously. #StayHomeSaveLives
@GovMurphy: We have vaccines that can protect against the flu. We have proven anti-flu therapies. We’re at least a year away from a vaccine for #COVID19, and there are currently no proven therapies.
@MarcoRubio: To further provide broader access to #PPP from lenders that serve #SmallBusiness I am asking @USTreasury to limit the amount of #PPPloans any single lender is able to make to no more than 5% of the new funds being approved.
Celebrities (Athlete, actor, singer)
@KingJames: Was so looking forward to being back in Cleveland tonight playing in front of my family, friends and fans I spent 11 years of my career with. Always a special place in my heart! Until next time! #ThekidfromAKRON #StaySafe
@ArianaGrande: tommy n i sending u some virtual love hope you’re all staying safe, sane, healthy and as creative as possible
@aplusk: I’m using #HowWeFeel to help track and fight COVID-19. For each new user HWF is donating a meal through @FeedingAmerica. 280,819 meals donated so far! Download it here:
.
| # of words | # of punctuations | # of abbreviations | # of contractions | # of hashtags | # of emojis | # of grammar errors | # of slang words | |
| Gavin Newsom | 46 | 5 | 3 | 0 | 1 | 0 | 0 | 0 |
| Phil Murphy | 32 | 4 | 0 | 1 | 1 | 0 | 0 | 0 |
| Marco Rubio | 40 | 1 | 2 | 0 | 3 | 0 | 0 | 0 |
| LeBron James | 37 | 4 | 0 | 0 | 2 | 2 | 2 | 0 |
| Ariana Grande | 20 | 2 | 1 | 1 | 0 | 3 | 1 | 1 |
| Ashton Kutcher | 28 | 4 | 1 | 1 | 1 | 0 | 0 | 0 |
Screen data
Grammatical errors include missing subject, verb, or helping word in a sentence.
Slang word category includes the use of “n” instead of “and”.
| # of words | # of punctuations | # of abbreviations | # of contractions | # of hashtags | # of emojis | # of grammar errors | # of slang words | |
| Bernie Sanders | 43 | 3 | 0 | 1 | 0 | 0 | 0 | 0 |
| Cardi B | 6 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
Screen Data
Grammatical errors include missing subject, verb, or helping word in a sentence.
Slang word category includes the use of “n” instead of “and”.
Internet Celebrity V.S. Celebrity
Screen Data
| Total # of sentences in set | Total # of words in set | Total # of hashtags in set | Total # of emojis in set | Total # of abbreviations in set | Grammar errors in set | |
| Jeffree Star @JeffreeStar | 3 | 47 | 0 | 5 | 1 | 0 |
| Justin Bieber @justinbieber | 6 | 16 | 3 | 0 | 1 | 0 |
Comparison of Tweets related to climate change
Screen Data
| Total # of sentences in set | Total # of words in set | Total # of hashtags in set | Total # of emojis in set | Total # of abbreviations in set | Grammar errors in set | |
| Bill Gates @BillGates | 3 | 46 | 0 | 0 | 0 | 0 |
| Donald Trump @realDonaldTrump | 3 | 45 | 0 | 0 | 0 | 0 |
Comparison of tweets regarding voting during COVID-19 pandemic from 44th and 45th president
Barack Obama- author, politician, attorney Donald trump- celebrity, businessman, reality TV personality
Screen Data
| Total # of sentences in set | Total # of words in set | Total # of hashtags in set | Total # of emojis in set | Total # of abbreviations in set | Grammar errors in set | |
| Barack Obama @BarackObama | 1 | 25 | 0 | 0 | 0 | 0 |
| Donald J. Trump @realDonaldTrump | 3 | 33 | 0 | 0 | 1 | 3 |
Relation to Course
Inter-Modal Research
Sourcing data from the tweets and facebook posts of individuals spanning various occupations
Linguistic Variables
Formality and Complexity in Phrasing
Abbreviation
Emoji Use
Punctuation & Capitalization
Participants (Main Focus)
What influence does profession have on an individual’s social media activities? (Linguistic Variables)
Sociological Attributes considered
Occupation
Roles of speaker to audience (i.e. politician to constituents, celebrity to fans, etc)
Age of speaker
