Even though Turnitin generates AI (Artificial Intelligence) writing detection reports, these AI reports shall not be used for punitive purposes as Turnitin AI reports accuracy is way below the 98% claimed by Turnitin, as revealed in this study. To assist professors, teachers, and content evaluation stakeholders in their strive to identify AI-generated material, this study examines the stylistic features of case study, business correspondence, and academic writing ChatGPT-4 generated responses by exploring sentence length, paragraph structure, word choice, mood, tense, voice, pronouns, keywords density, lexical density, lexical diversity, and reading ease. The study revealed that ChatGPT-4 case study generated responses are produced in paragraphs of 2 to 3 sentences of 16 to 18 words each. The sentences are mainly formed in imperative mood. The use of the second-person pronoun ‘you’ and the second-person possessive determiner ‘your’ is prevalent. Keywords and lexical density are relatively low, lexical diversity is average, and the reading ease is relatively high. The study also found that ChatGPT-4 business correspondence responses are generated in paragraphs of 2 to 3 sentences of 16 to 20 words each. The sentences are mainly generated in declarative mood thru simple present tense in active voice using third-person singular pronouns. Technical words and abbreviations are used without outlining what they stand for. The keywords density, lexical density, and lexical diversity are high and the reading ease is low. The study also revealed that ChatGPT-4 academic writing generated responses are provided in paragraphs of 3 to 4 sentences of 16 to 19 words each. The sentences are mainly generated in declarative mood using active voice, agentless passive in times, with diverse present tenses. Keywords and lexical densities are high and the lexical diversity is low, which makes the reading ease average difficulty, except for the undefined abbreviations. Noticeably, ChatGPT-4 supports the transgender movement by intentionally using the third-person plural pronoun ‘they’ to refer to a singular.

This study examines politeness as a nonverbal politic behavior in 29 European countries and territories using Brown and Levinson’s (1987) politeness theory. The examination looked into the nonverbal acts of ‘following road signs and speed limit’ and ‘giving signals before changing lanes’ as they reflect (1) negative politeness in the form of avoiding imposition and reducing face-threatening-acts and (2) positive politeness in the form of noticing and appreciating other drivers’ wants and interests to drive without imposition respectively. The examination looked into four variables that are the gender of drivers, age of drivers, level of education of drivers and their country of origin. The study found that European drivers are generally polite and they tend to use the positive politeness act (giving signals) of noticing and appreciating other drivers more often than the negative politeness act (following sigs and speed limits) of reducing imposition and avoiding face-threatening acts. The study also found that the level of education did not play a significant role in the adherence to the driving politic behavior. However, this study found a positive coloration between the age of drivers and their adherence to the driving politic behavior as older drivers follow the driving politic behavior more often than young drivers. This study also found that female drivers in Europe are more polite than male drivers as they notice and appreciate other drivers (positive politeness). This study also revealed that Danish (female), British (male and female), Irish (male), Finish (male), Dutch (male and female), Belgium (female), Austrian (female), Greek (female) and Spanish (male)  drivers have the highest frequency of adherence to the driving politic behavior. The study also found that Portuguese male and female, Croatian male and female, Macedonian male and female, Scottish male and female, Albanian male, Norwegian male, Czech male, Austrian female, Romanian male and Swedish female drivers have the lowest frequency of adherence to the driving politic behavior in Europe. The study also found that Cypriot (male), Catalonian (female), French (male and female), German (male and female), Hungarian (male and female), Italian (male and female), Polish (male and female), Russian (male and female), Serbian (male and female), Slovakian (male and female), and Turkish (male and female) drivers’ adherence to driving politic behavior is relatively moderate to high.