Tweets Analysis - Keyword: @WAPoliceTraffic
Overview
Total number of tweets analysed
41
Earliest tweet was on
2023-03-22
Latest tweet was on
2023-03-31
Tweets covering
8 days
Average age of authors' accounts
7 years
Summarization
The tweets cover a range of topics including complaints about the reporting of accidents, concerns about the safety of e-scooters and other personal mobility devices, criticism of police enforcement tactics, and sarcastic comments about the effectiveness of speed cameras. Overall, there seems to be a mix of frustration and disagreement with the way that police are handling various issues related to transportation and safety in Western Australia.
Topic Modeling
- Traffic accidents between vehicles and non-vehicle entities (e.g. bikes, pedestrians, scooters, skateboards)
- Fault and responsibility in traffic accidents
- Calls for banning or regulating certain modes of transportation
- Criticism of police practices and priorities
- General gratitude and support for police efforts
Emotional Analysis
The tweets express a range of emotions, from frustration and annoyance to concern and gratitude. Many tweets criticize the police for their policies on banning certain activities and question their priorities in responding to accidents. Others express concern for safety and urge the police to crack down on reckless behavior. Some tweets express gratitude for the police's efforts to ensure safety on the roads, while others criticize them for perceived unfair treatment. Overall, the emotions expressed in these tweets reflect a mix of frustration, concern, and appreciation for law enforcement's efforts to ensure public safety.
Trend Analysis
- Concerns about the potential ban of bikes, skateboards, and pedestrians due to accidents involving vehicles
- Questions and debates over fault in accidents involving cars and scooters
- Criticism of the police and government for potential bans and lack of enforcement against reckless riders
- Comparison of accident rates and impact on emergency services between e-scooters and cars
- Support and gratitude towards the police for their work
Types of Tweets
Number of Retweets
7
Percentage of total tweets
17%
Number of Original tweets
2
Percentage of total tweets
4%
Number of tweets that contain Mentions
41
Percentage of total tweets
100%
Number of tweets that were Replies
32
Percentage of total tweets
78%
Number of tweets that were Quotes
1
Percentage of total tweets
2%
Number of tweets that contain Hashtags
3
Percentage of total tweets
7%
Top 5 devices used to tweet
| Source | Count |
|---|---|
| Twitter for Android | 25 |
| Twitter Web App | 6 |
| Twitter for iPhone | 6 |
| Twitter for iPad | 4 |
What devices were used to tweet
Top 10 accounts with highest followers count
| Username | Name | Bio | Followers count |
|---|---|---|---|
| SupportWACops | SupportWACops | Supporting our WA Police Force | 2,164 |
| ShannonHampton_ | Shannon Hampton | Police editor at The West Australian @westaustralian | 1,396 |
| PeggyHHenson | Peggy Henson | Never waste an opportunity to tell someone you love them, because you never know, tomorrow could be too late. | 1,127 |
| alocinotasor | Truthy 🚩 | Truth Absolutist. | 1,059 |
| cyclingzealot | jlam | Cycling and driving, wanting safer cities for all. @cyclingzealot@toot.bike Him/He/Lui/Il/They | 1,027 |
| xodarapreturns | Martin | ”I am because we are” | 863 |
| markoyaaaay | Mark O'Shea | this things I believe | 638 |
| Swineton | Swineton 🇦🇺 (DM to be blocked) | Retired and enjoying life. love dogs. DM to be instantly blocked. Oh and no religious nuts | 550 |
| JaneMAngel | Jane Angel 💙💛🦅 🐾 🏊♀️ | Wife Mother Daughter & Sister. Love my family and my collie dog! Sport crazy especially Footy (WCE & Perth Demons) and Swimming (doing it not watching) | 505 |
| DavidRollinson | Dave Rollinson | - | 354 |
Top 10 accounts with highest friends count
| Username | Name | Bio | Followers count |
|---|---|---|---|
| cyclingzealot | jlam | Cycling and driving, wanting safer cities for all. @cyclingzealot@toot.bike Him/He/Lui/Il/They | 2,266 |
| ShannonHampton_ | Shannon Hampton | Police editor at The West Australian @westaustralian | 2,079 |
| DavidRollinson | Dave Rollinson | - | 1,422 |
| Swineton | Swineton 🇦🇺 (DM to be blocked) | Retired and enjoying life. love dogs. DM to be instantly blocked. Oh and no religious nuts | 1,067 |
| markoyaaaay | Mark O'Shea | this things I believe | 1,027 |
| xodarapreturns | Martin | ”I am because we are” | 892 |
| alocinotasor | Truthy 🚩 | Truth Absolutist. | 862 |
| AmitJha4915117 | Amit Jha | - | 779 |
| JaneMAngel | Jane Angel 💙💛🦅 🐾 🏊♀️ | Wife Mother Daughter & Sister. Love my family and my collie dog! Sport crazy especially Footy (WCE & Perth Demons) and Swimming (doing it not watching) | 728 |
| PeggyHHenson | Peggy Henson | Never waste an opportunity to tell someone you love them, because you never know, tomorrow could be too late. | 718 |
Most active users
| Username | Bio | Number of tweets |
|---|---|---|
| Nekronomikoin | We were somewhere around Barstow on the edge of the desert when the Ethereum began to take hold... | 5 |
| LeslieP91047430 | A dog with a bone | 4 |
| perthrider87 | - | 3 |
| SupportWACops | Supporting our WA Police Force | 3 |
| xodarapreturns | ”I am because we are” | 2 |
| cyclingzealot | Cycling and driving, wanting safer cities for all. @cyclingzealot@toot.bike Him/He/Lui/Il/They | 1 |
| wonarmman | Facts vs Opinions | 1 |
| sumitS63426860 | Hi | 1 |
| shaboop | Always remember you're unique, just like everyone else. Evil web fanatic. Entrepreneur. Communicator. TV Practitioner. Prone to fits of apathy. | 1 |
| perthdriver007 | Spotting crazy drivers everywhere! I tend to swear every now and then. Lol. Local WA born-and-bred. | 1 |
Tweets per day
Top 10 tweets with highest Retweet count
| ID | Text | Retweet count |
|---|---|---|
| 1641629955695185920 | @Nekronomikoin @WAPoliceTraffic Nearly killed a young kid when he come straight onto the path of my car, no helmet possibly 11 years old. | 0 |
| 1640818157010161668 | @WAPoliceTraffic Not sure what the problem is, looks better than some of the cars I had in my younger days. | 0 |
| 1640979926177439744 | @WAPoliceTraffic Must sell going o/seas only genuine scrap merchants to apply | 0 |
| 1640941261032136704 | @WAPoliceTraffic Wow!!! I can't even begin to think of how much 'stupid' was involved in this act. | 0 |
| 1640890655231844353 | @WAPoliceTraffic Budget's getting a bit tight at the 7 Network. Journo's take home car 🤣 | 0 |
| 1640857970438475776 | @alocinotasor @WAPoliceTraffic A normal car in Christchurch. | 0 |
| 1640857123826565128 | @xodarapreturns @WAPoliceTraffic Harrassing people that love the number 7? Hahahaha 😂 | 0 |
| 1640854349898469378 | @WAPoliceTraffic Thank you for what you do and have to do. | 0 |
| 1640810095805190148 | @WAPoliceTraffic Yes. Hate | 0 |
| 1641390857176887296 | @WAPoliceTraffic The poor people who are doing the right thing are going to suffer because of these reckless riders... | 0 |
Top 10 tweets with highest Like count
| ID | Text | Like count |
|---|---|---|
| 1641238904396484610 | @WAPoliceTraffic Do you report on every accident between vehicles and people? Bikes, skateboards, pedestrians? Or are you pushing to have yet another thing banned? #nannystate | 3 |
| 1641055873383698434 | @WAPoliceTraffic Who was at fault? The scooter or the car? | 2 |
| 1641262539446292481 | @WAPoliceTraffic oh no, people got hurt doing stuff they enjoy, lets ban it. | 2 |
| 1640689693082939392 | @WAPoliceTraffic Would have been cheaper to get it towed on a flat bed. | 2 |
| 1641076664884170756 | @WAPoliceTraffic @bikewalkperth Look at this 👆🏼 | 1 |
| 1641071616741482496 | @WAPoliceTraffic @SupportWACops Seriously! I don’t know who was at fault, but they are scary when you’re walking and they’re on the footpath | 1 |
| 1641390857176887296 | @WAPoliceTraffic The poor people who are doing the right thing are going to suffer because of these reckless riders... | 1 |
| 1641057888646078468 | @WAPoliceTraffic Meanwhile road accidents due to cars require 15 ambulances attended per day. So the number of e scooter riders requiring 24 hour hospital stays has increased by a whopping 60% which amounts to an extra 23 people per calender year. What percentage is that vs total e scooter users? | 1 |
| 1641065270755364871 | @WAPoliceTraffic "The preliminary road toll for 2022 stands at 174 deaths, including 112 in regional areas and 62 in the metropolitan area." 🤡 | 1 |
| 1641067127586320389 | @perthrider87 @WAPoliceTraffic No context, so my money is on the car not giving way when turning right, or ripping out of a driveway like a getaway driver for a bank heist. Bonus points for being on their phone while doing either of these. | 1 |
Top 3 Languages Used In Tweets
Top 10 Hashtags used
| Hashtag | Count |
|---|---|
| #fb | 1 |
| #nannystate | 1 |
| #7 | 1 |
| #courtdate | 1 |
Top 10 Hashtags Used In Tweets
Top 10 mentions
| Mention | Count |
|---|---|
| @wapolicetraffic | 41 |
| @supportwacops | 3 |
| @nekronomikoin | 2 |
| @janemangel | 1 |
| @lesliep91047430 | 1 |
| @dodgerseven77 | 1 |
| @ginginpol | 1 |
| @dfes_wa | 1 |
| @bushfirevol | 1 |
| @waparkswildlife | 1 |
Top 10 mentions
Wordcloud of Tweets
Emojis
Average number of emojis used per tweet
26
Emojis used in tweets
| Emoji | Count | Emoji Text |
|---|---|---|
| 👏🏼 | 3 | clapping_hands_medium-light_skin_tone |
| 😂 | 2 | face_with_tears_of_joy |
| 👍 | 1 | thumbs_up |
| 👆🏼 | 1 | backhand_index_pointing_up_medium-light_skin_tone |
| 🤡 | 1 | clown_face |
| 🤣 | 1 | rolling_on_the_floor_laughing |
| 😄 | 1 | grinning_face_with_smiling_eyes |
| 😀 | 1 | grinning_face |
Emojis groups
| Emoji Group | Count |
|---|---|
| Smileys & Emotion | 6 |
| People & Body | 5 |