From symbolic values to symbolic innovation: Internet-memes and innovation

Benaim, Mickael

doi:10.1016/j.respol.2018.02.014

Cited by 47 publications

(35 citation statements)

References 30 publications

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“…A review of recent literature indicates that there are some works concerning detection of innovative themes on the internet [7,50,51]. However, the analysed approaches are insufficient to solve the problem presented in this study owing to the reason that they do not offer a direct solution to recognise whether a company is innovative or not, based only on its public website available on the internet.…”

Section: Related Work Vs Proposed Approachmentioning

confidence: 92%

Recognising innovative companies by using a diversified stacked generalisation method for website classification

Mirończuk

Protasiewicz

2019

Appl Intell

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In this paper, we propose a classification system which is able to decide whether a company is innovative or not, based only on its public website available on the internet. As innovativeness plays a crucial role in the development of myriad branches of the modern economy, an increasing number of entities are expending effort to be innovative. Thus, a new issue has appeared: how can we recognise them? Not only is grasping the idea of innovativeness challenging for humans, but also impossible for any known machine learning algorithm. Therefore, we propose a new indirect technique: a diversified stacked generalisation method, which is based on a combination of a multi-view approach and a genetic algorithm. The proposed approach achieves better performance than all other classification methods which include: (i) models trained on single datasets; or (ii) a simple voting method on these models. Furthermore, in this study, we check if unaligned feature space improves classification results. The proposed solution has been extensively evaluated on real data collected from companies' websites. The experimental results verify that the proposed method improves the classification quality of websites which might represent innovative companies.

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Section: Related Work Vs Proposed Approachmentioning

confidence: 92%

Recognising innovative companies by using a diversified stacked generalisation method for website classification

Mirończuk

Protasiewicz

2019

Appl Intell

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“…Meme is a very interesting object for investigation and there are many articles about it, even about their 'symbolic value' and influence on cultural industries or finance (Benaim, 2018). Theoretical research of meme with all possible inter-or multidisciplinary cannot give real conception of it, because, first of all, it is an actively using instrument in modern communication, so its features and functions can change really fast.…”

Section: Problem Statementmentioning

confidence: 99%

The Memes` Function In The Visual Design Of News Messages

Pryahina¹

2019

The European Proceedings of Social and Behavioural Sciences

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“…Grounded on the multiliteracy studies (COPE; KALANTZIS, 2000KALANTZIS, , 2008KNOBEL, 2007;LEMKE, 2009;MENEZES DE SOUZA, 2011), and especially on the studies of Internet memes made by Dawkins (1976), Díaz (2013), Shifman (2013Shifman ( , 2014, Gal, Shifman and Kampf (2016), Chagas (2017Chagas ( , 2018, Benaim (2018), and Glaveanu, Saint-Laurent and Literat (2018), this paper presents some reflections upon adopting Internet memes as possibilities for teaching in the context of digital cultures and multiliteracies.…”

Section: Introductionmentioning

confidence: 97%

Internet memes

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2019

Educ. Form.

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This paper aims at presenting some reflections upon adopting Internet memes as possibilities for teaching in the context of digital cultures. In Brazil, millions of people interact in social media, on a daily basis, by editing, sharing, reading and reacting to a great variety of graphic texts, videos, photos, and songs that reflect their everyday relationships, namely, they produce internet memes. This study is grounded on the multiliteracies perspective (COPE & KALANTZIS, 2000, 2008; LANKSHEAR & KNOBEL, 2007; LEMKE, 2009; MENEZES DE SOUZA, 2011), as well as on the studies on memes, made by Dawkins (1976), Shifman (2013, 2014), Shifman et al (2016), Chagas (2017, 2018) and Glaveanu (2018). The teaching suggestions are based on categories of memes analysis; remixing existing memes in order to explore discourses of dominant ideologies, issues of race, age, gender and social class; and reading and writing political memes, that operate as instruments of persuasion.

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From symbolic values to symbolic innovation: Internet-memes and innovation

Cited by 47 publications

References 30 publications

Recognising innovative companies by using a diversified stacked generalisation method for website classification

Recognising innovative companies by using a diversified stacked generalisation method for website classification

The Memes` Function In The Visual Design Of News Messages

Internet memes

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