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The memeing of life : a journey through the delirious world of memes
Welcome reader. Please, make yourself comfortable: pull your chair nearer the fire, put your feet up on the dog, settle your cheeks into the toilet seat. This is 'The Memeing of Life', an exhaustive, exhausting, guide to the world of internet memes. Perhaps you have no idea what a meme is, so have bought this little book to expand your small mind. Possibly you're the sort of friendless berk who is already an expert but has picked the book up in order to poke holes in it. Whoever you are, wherever you're from, you're in the right place: prepare to learn everything you need to know about the greatest thing the internet has to offer - memes!
Book
The Internet Is for Cats
LOL cats. Grumpy Cat. Dog-rating Twitter. Pet Instagram accounts. It’s generally understood the internet is for pictures of cute cats (and dogs, and otters, and pandas). But what motivates people to make and share these images, and how do they relate to other online social practices?
The Internet is for Cats examines how animal images are employed to create a lighter, more playful mood, uniting users within online spaces that can otherwise easily become fractious and toxic. Placing today’s pet videos, photos, and memes within a longer history of mediated animal images, communication scholar Jessica Maddox also considers the factors that make them unique. She explores the roles that animals play within online economies of cuteness and attention, as well as the ways that animal memes and videos respond to common experiences of life under neoliberalism.
Conducting a rich digital ethnography, Maddox combines observations and textual analysis with extensive interviews of the people who create, post and share animal media, including TikTok influencers seeking to make their pets famous, activists tweeting about wildlife conservation, and Redditors upvoting every cute cat photo. The Internet is for Cats will leave you with a new appreciation for the human social practices behind the animal images you encounter online.
eBook
Communicating with memes : consequences in post-truth civilization
Communicating with Memes: Consequences in Post-truth Civilization' investigates the consequences of memetic communication, the causes of these consequences, and what action-if any-should be taken in response. Communicating with memes across social media networks has become a commonplace activity in today's world, despite the fact that just years earlier, this mode of communication was a rarity. The rapid adoption of this new mode of communication through ubiquitous social media and device use is resulting in a major transformation of the ways in which we think and behave in our digital world. From the election of Donald Trump, to online harassment and identity theft, to the resurgence of once-eradicated diseases due to the anti-vaxxer movement, Grant Kien analyzes fourteen major consequences of this shift and confronts the question of how to approach these consequences.
Book
Linguistic and Semiotic Analysis of Memes with English and Arabic Humor Captions
This study aimed to examine memes from a linguistic and cultural perspective, focusing on humor expressed through English and Arabic captions in memes collected from Facebook and Instagram. Using a mixed-method approach that combined quantitative and qualitative methods, corpus linguistics was employed to collect 60 memes—30 Arabic and 30 English. The study sought to highlight the similarities and differences in the methods used to express humor through memes while examining the socio-semiotic aspects underlying their linguistic and cultural structure. Drawing on Halliday's socio-semiotic theory, the analysis was conducted at three levels: ideational, interpersonal, and textual metafunctions, described in terms of the situational context through the variables of field, tenor, and mode. The findings revealed that mode was the most frequently used semiotic metafunction across the four sub-corpora, represented by ellipsis, exophoric and anaphoric references, conjunction, lexical collocation, and repetition. Linguistic features of mode were more prominent in Instagram English memes and Facebook Arabic memes. Tenor emerged as the second most used metafunction, particularly in Facebook Arabic memes and Instagram English memes, expressed through mood, polarity, modality, and dialogue. Conversely, field, encompassing themes such as social commentary, relationships, and politics, was the least used metafunction, with no significant differences among its sub-corpora. The study concludes that memes are a complex socio-semiotic phenomenon where linguistic and visual elements interact to communicate meaning. It recommends further research on cross-platform memes and longitudinal analyses to explore evolving linguistic and cultural dynamics.
Journal Article
The world made meme : public conversations and participatory media
Internet memes - digital snippets that can make a joke, make a point, or make a connection - are now a lingua franca of online life. They are collectively created, circulated, and transformed by countless users across vast networks. Most of us have seen the cat playing the piano, Kanye interrupting, Kanye interrupting the cat playing the piano. In 'The World Made Meme', Ryan Milner argues that memes, and the memetic process, are shaping public conversation. It's hard to imagine a major pop cultural or political moment that doesn't generate a constellation of memetic texts.
Book
Memes in Digital Culture
In December 2012, the exuberant video \"Gangnam Style\" became the first YouTube clip to be viewed more than one billion times. Thousands of its viewers responded by creating and posting their own variations of the video--\"Mitt Romney Style,\" \"NASA Johnson Style,\" \"Egyptian Style,\" and many others. \"Gangnam Style\" (and its attendant parodies, imitations, and derivations) is one of the most famous examples of an Internet meme: a piece of digital content that spreads quickly around the web in various iterations and becomes a shared cultural experience. In this book, Limor Shifman investigates Internet memes and what they tell us about digital culture. Shifman discusses a series of well-known Internet memes -- including \"Leave Britney Alone,\" the pepper-spraying cop, LOLCats, Scumbag Steve, and Occupy Wall Street's \"We Are the 99 Percent.\" She offers a novel definition of Internet memes: digital content units with common characteristics, created with awareness of each other, and circulated, imitated, and transformed via the Internet by many users. She differentiates memes from virals; analyzes what makes memes and virals successful; describes popular meme genres; discusses memes as new modes of political participation in democratic and nondemocratic regimes; and examines memes as agents of globalization. Memes, Shifman argues, encapsulate some of the most fundamental aspects of the Internet in general and of the participatory Web 2.0 culture in particular. Internet memes may be entertaining, but in this book Limor Shifman makes a compelling argument for taking them seriously.
eBook
PolyMeme: Fine-Grained Internet Meme Sensing
Internet memes are a special type of digital content that is shared through social media. They have recently emerged as a popular new format of media communication. They are often multimodal, combining text with images and aim to express humor, irony, sarcasm, or sometimes convey hatred and misinformation. Automatically detecting memes is important since it enables tracking of social and cultural trends and issues related to the spread of harmful content. While memes can take various forms and belong to different categories, such as image macros, memes with labeled objects, screenshots, memes with text out of the image, and funny images, existing datasets do not account for the diversity of meme formats, styles and content. To bridge this gap, we present the PolyMeme dataset, which comprises approximately 27 K memes from four categories. This was collected from Reddit and a part of it was manually labelled into these categories. Using the manual labels, deep learning networks were trained to classify the unlabelled images with an estimated error rate of 7.35%. The introduced meme dataset in combination with existing datasets of regular images were used to train deep learning networks (ResNet, ViT) on meme detection, exhibiting very high accuracy levels (98% on the test set). In addition, no significant gains were identified from the use of regular images containing text.
Journal Article
The strange creature at Kuroyuri Apartments
\"Meet Meme, the good-for-nothing daughter of the Demon World's mighty summoner clan. Her dad's kicked her out into the human world to learn some responsibility, and she needs to find a home! Enter Sentarou Narigane, wealthy landlord of Kuroyuri Apartments. Suffering from the worst case of malaise, Sentarou offers Meme a free apartment on one condition: she has to be his entertainment!\"--Cover, volume 1.
Book
Eye tracking and attentional bias for depressive internet memes in depression
Previous research highlights the potential benefits of engaging with depressive internet memes for those experiencing symptoms of depression. This study aimed to determine whether: compared to non-depressed controls, individuals experiencing depressive symptoms were quicker to orient and maintain overall attention for internet memes depicting depressive content relative to neutral memes. N = 21 individuals were grouped based on the severity of reported depression symptoms using the PhQ-9. Specifically, a score of: ≤ 4 denoted the control group; and ≥ 15 the depressive symptoms group. Participants viewed a series of meme pairs depicting depressive and neutral memes for periods of 4000 ms. Data for the first fixation onset and duration, total fixation count and total fixation and gaze duration of eye-movements were recorded. A significant group x meme-type interaction indicated that participants with depressive symptoms displayed significantly more fixations on depressive rather than neutral memes. These outcomes provide suggestive evidence for the notion that depressive symptoms are associated with an attentional bias towards socio-emotionally salient stimuli.
Journal Article