WTF Level Measures the Amount of Swear Words on Twitter Real Time
Elise Ying-Hei Ho — November 25, 2012 — Pop Culture
References: wtflevel & designtaxi
WTF Level is an online monitor that keeps tabs on all the profane words and messages posted via Twitter.
Upon entering the Web site, an extremely startling siren is played to signify the level of profanity online, also known as the "threat level." WTF Level monitors Twitter live and constantly updates via line and bar graphs to illustrate the intensity of the inappropriate activity online. Using a color-coded system where green is considered most polite, which is rarely seen; blue as mild cursing; yellow as tirades; orange as expletive-laced; and red being the most profane. The site also categorizes swear words on an hourly basis to reflect which words were used in conjunction with which topics, another way to show what's trending on Twitter.
Upon entering the Web site, an extremely startling siren is played to signify the level of profanity online, also known as the "threat level." WTF Level monitors Twitter live and constantly updates via line and bar graphs to illustrate the intensity of the inappropriate activity online. Using a color-coded system where green is considered most polite, which is rarely seen; blue as mild cursing; yellow as tirades; orange as expletive-laced; and red being the most profane. The site also categorizes swear words on an hourly basis to reflect which words were used in conjunction with which topics, another way to show what's trending on Twitter.
Trend Themes
1. Real-time Profanity Monitoring - Opportunity for a disruptive innovation in developing advanced algorithms to monitor profane language in real time on social media platforms.
2. Color-coded Profanity Intensity - Opportunity for a disruptive innovation in creating visual representations, like line and bar graphs with color codes, to depict the intensity of inappropriate activity online.
3. Trending Swear Words and Topics - Opportunity for a disruptive innovation in analyzing and categorizing swear words based on topics to identify trending discussions on social media platforms.
Industry Implications
1. Social Media Monitoring - Opportunity for disruptive innovation in developing tools and platforms for real-time monitoring and analysis of profane language on social media platforms.
2. Data Visualization - Opportunity for disruptive innovation in creating visual representation techniques, such as line and bar graphs, to display the intensity of inappropriate activity online.
3. Online Content Analysis - Opportunity for disruptive innovation in developing advanced algorithms and AI models for analyzing and categorizing profane language based on topics and trends.
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