Humorous Essays (Examples)
Study Document
Contact In Canadian Literature
...Humorous Contact in Canadian Literature: The Use of Gothic Elements in the Negotiation of Cultural Differences between Settlers and Indigenous Nations
Introduction
Common elements of gothic literature include mystery, fear, omens, curses, preternatural settings, gloomy atmospheres with a hint of being haunted, some dimension of the supernatural, romance, an arch-villain, nightmare situations, anti-heroes and ladies in distress (Mulvey-Roberts; Smith). Popular examples on both sides of the Atlantic include works by the Bronte sisters, works by Poe, and Shelley’s Frankenstein. The gothic was a popular genre form in the 19th century. It was romantic, vibrant, dark, brooding, frightening, exciting, and visceral. It resonated with readers because after a century of Enlightenment (hyper-emphasis on reason and naturalism), the romantic era had ushered in something desperately needed: feeling. Thus, authors of the 19th century, like Duncan Campbell Scott and Pauline Johnson, found elements of the gothic genre to be a useful way to explore……
References
Works Cited
Gray, Charlotte, and Clara Thomas. "Flint and feather: the life and times of E Pauline Johnson, Tekahionwake." Canadian Woman Studies 23.1 (2003): 183.
Johnson, E. Pauline. “Pagan in St. Paul’s Cathedral.” http://fullonlinebook.com/essays/a-pagan-in-st-paul-s-cathedral/jhfy.html
Mulvey-Roberts, Marie, ed. The Handbook to Gothic literature. NYU Press, 1998.
Salem-Wiseman, Lisa. ""Verily, the White Man's Ways Were the Best": Duncan Campbell Scott, Native Culture, and Assimilation." Studies in Canadian Literature/Études en littérature canadienne (1996): 121-144.
Scott, D. C. “The Onondaga Madonna.”
Smith, Andrew. Gothic Literature. Edinburgh University Press, 2007.
Study Document
Revealing Bias In The Tweets Of Tesla CEO Elon Musk
… when Musk said that “the coronavirus panic is dumb” (Stewart, 2020). Musk tends to present information in cavalier ways, often trying to appear humorous to a younger generation of stakeholders who tend to idolize him.
Any bias presented by Musk is towards those who do not heap ……
References
References
Marofsky, M., Grote, K. (Writers), Christiansen, L., Dean, W. (Directors), Christiansen, L., &Hommeyer, T (Producers). (1991). Understanding our biases and assumptions [Video file]. Retrieved from Films on Demand database.
Stewart, E. (2020). Elon Musk’s coronavirus journey: A timeline. Retrieved from https://www.vox.com/recode/2020/3/19/21185417/elon-musk-coronavirus-tweets-panic-ventilators-chloroquine-tesla-factory
Study Document
Sleepy Hollow Film Vs Sleepy Hollow Book
… not missed very much, since he was always an outsider and not liked by the insular town of Sleepy Hollow. The story is humorous rather than spooky in nature and implies that Brom Bones was the one who dressed as the horseman to scare Crane away.
In ……
References
Works Cited
Irving, Washington. “The Legend of Sleepy Hollow.” Project Gutenberg. Web. March 28, 2019. https://www.gutenberg.org/files/41/41-h/41-h.htm
Sleepy Hollow. Directed by Tim Burton. Paramount Pictures, 1999.
Study Document
Fake News Detection
...Humorous Fake News Detection
Introduction
How can fake news be detected and prevented from dominating the online discourse of news events? Numerous researchers have been discussing this issue and identifying ways to detect fake news, whether on social media (Shu et al.) or by creating a benchmark dataset to facilitate the process (Wang). The topic of this study is fake news detection and what methods are available in this new field. The reason for addressing this topic is that fake news has been a hot button issue in politics ever since the election of Donald Trump. Understanding how fake new proliferates and what can be done to stop its proliferation is something that the digital community can benefit from. The inquiry question for this review is: What are some of the ways that fake news detection can be facilitated?
Body
This literature is organized according to what the researchers have found.……
References
References
Conroy, Niall J., Victoria L. Rubin, and Yimin Chen. "Automatic deception detection: Methods for finding fake news." Proceedings of the Association for Information Science and Technology 52.1 (2015): 1-4.
Rubin, Victoria L., Yimin Chen, and Niall J. Conroy. "Deception detection for news: three types of fakes." Proceedings of the 78th ASIS&T Annual Meeting: Information Science with Impact: Research in and for the Community. American Society for Information Science, 2015.
Ruchansky, Natali, Sungyong Seo, and Yan Liu. "Csi: A hybrid deep model for fake news detection." Proceedings of the 2017 ACM on Conference on Information and Knowledge Management. ACM, 2017.
Shu, Kai, et al. "Fake news detection on social media: A data mining perspective." ACM SIGKDD Explorations Newsletter19.1 (2017): 22-36.
Wang, William Yang. "" liar, liar pants on fire": A new benchmark dataset for fake news detection." arXiv preprint arXiv:1705.00648 (2017).
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