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iPhone 14 Twitter Discourse Analysis
Social Media and Posts
Tags and Keywords
Trusted By
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Free
About
social media conversations surrounding the iPhone 14 launch. It spans 144,000 English-language tweets sent from July 11th through September 9th, 2022, capturing activity leading up to and immediately after the product announcement on September 7th. The data covers the initial release period, and the collection is planned to be updated weekly to include newer examples.
Columns
- date_time: Date and Time when the tweet was originally sent.
- username: The unique handle of the user who posted the message.
- user_location: Geographical information entered by the user in their account profile. It is important to note that this is not GPS-generated data.
- user_description: The text added to the "about" section in the user's account.
- verified: A Boolean field indicating whether the user possesses the "verified by Twitter" blue tick. Approximately 5% of the users in the dataset are verified.
- followers_count: The total number of followers associated with the account that posted the tweet.
- following_count: The total number of accounts followed by the person who sent the tweet.
- tweet_like_count: The total number of likes received by the specific tweet.
- tweet_retweet_count: The total count of times the tweet was shared by other users.
- tweet_reply_count: The total number of replies directed to the tweet.
- source: Indicates the device or platform used to send the tweet (e.g., Twitter for iPhone, Twitter for Android). The source link often reveals device information.
- tweet_text: The actual written content of the message posted.
Distribution
The data product contains 144,000 individual records and is provided in a standard CSV file format, named
iphone14-query-tweets.csv. The file size is 50.44 MB. The information was scraped directly from Twitter and uploaded "as is," meaning no further data cleaning was performed after the initial scraping. The data is structured across 12 distinct columns.Usage
This data is suitable for various analytical purposes, including conducting sentiment analysis to measure public feeling towards the iPhone 14. Researchers can also utilise the dataset to look at geographical distribution patterns, identify prevailing social media trends, and develop models for spam identification (spam x ham). Analysts may choose to process the data further, such as extracting device names from the 'source' links.
Coverage
The data collection period spans from July 11th, 2022, up to September 9th, 2022. The entire collection consists exclusively of English-language tweets. While user location data is captured, a notable 32% of records are missing this geographical information. Approximately 5% of the accounts included in the sample are verified.
License
CC0: Public Domain
Who Can Use It
- Data Scientists and NLP Researchers: For training Natural Language Processing models or performing large-scale text analysis.
- Market Analysts and Strategists: Assessing public reaction, identifying key consumer perceptions, and tracking trends in the mobile electronics market.
- Academics: Studying information diffusion on social networks and the dynamics of pre-release hype cycles for major technology products.
Dataset Name Suggestions
- iPhone 14 Twitter Discourse Analysis (July-Sept 2022)
- 144k English iPhone 14 Tweets (Pre/Post Launch)
- Social Media Sentiment: iPhone 14 Release Cycle
- Twitter Conversation: Apple iPhone 14 Release
Attributes
Original Data Source: iPhone 14 Twitter Discourse Analysis
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