Literatura científica selecionada sobre o tema "Influenceurs – Réseaux sociaux"
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Artigos de revistas sobre o assunto "Influenceurs – Réseaux sociaux"
Sedda, Paola, Nataly Botero e Myriam Hernández Orellana. "Influenceurs et influenceuses santé : les récits et les savoirs du corps sur les réseaux sociaux". Études de communication, n.º 58 (26 de setembro de 2022): 7–24. http://dx.doi.org/10.4000/edc.14155.
Texto completo da fonteCotton, Anne-Marie. "European Communication Monitor 2016 : 10 ans de recherche pan-européenne sur la communication stratégique". Revue Communication & professionnalisation, n.º 4 (26 de janeiro de 2017): 181–205. http://dx.doi.org/10.14428/rcompro.vi4.713.
Texto completo da fonteVernette, Éric, e Élisabeth Tissier-Desbordes. "Le repérage marketing des influenceurs dans les réseaux sociaux Des dangers de l’ignorance aux risques de l’à peu près…". Décisions Marketing N° 67, n.º 3 (1 de agosto de 2012): 5–8. http://dx.doi.org/10.3917/dm.067.0005.
Texto completo da fonteGaudet, Stéphanie, e Martin Turcotte. "Sommes-nous égaux devant l’« injonction » à participer ?" Sociologie et sociétés 45, n.º 1 (12 de junho de 2013): 117–45. http://dx.doi.org/10.7202/1016398ar.
Texto completo da fonteLapointe, Marie-Claude, Jason Luckerhoff e Anne-Sophie Prévost. "Les influences culturelles à l’ère des réseaux sociaux numériques". Enjeux et société: Approches transdisciplinaires 7, n.º 2 (2020): 245. http://dx.doi.org/10.7202/1073367ar.
Texto completo da fonteJulien, Samuel, Julie Roger, Jerome Range, Cheikh Faye, Hector Ignacio Castellucci, Mathieu Tremblay e Martin Lavallière. "Instagram : une nouvelle avenue pour documenter et influencer la santé et sécurité au travail". Revue Organisations & territoires 31, n.º 3 (9 de janeiro de 2023): 129–35. http://dx.doi.org/10.1522/revueot.v31n3.1524.
Texto completo da fonteFortin, Andrée. "Nouveaux réseaux : les espaces de la sociabilité". III. Individualisme des relations et recomposition des solidarités, n.º 29 (16 de outubro de 2015): 131–40. http://dx.doi.org/10.7202/1033722ar.
Texto completo da fonteNeyrand, Gérard. "Devenir parents aujourd’hui : une démarche incertaine". Spirale N° 106, n.º 2 (13 de setembro de 2023): 80–86. http://dx.doi.org/10.3917/spi.106.0080.
Texto completo da fonteCalvo, Emmanuel. "Toujours Africains et déjà Français : la socialisation des migrants vue à travers leur alimentation". Politique africaine 67, n.º 1 (1997): 48–55. http://dx.doi.org/10.3406/polaf.1997.6064.
Texto completo da fonteDescary, Guillaume, Éliane Thouin, Elizabeth Olivier, Véronique Dupéré, Éric Dion, Isabelle Archambault e Éric Lacourse. "Le décrochage scolaire est-il contagieux ? Exploration du rôle des amis, des partenaires amoureux et de la fratrie1". Revue des sciences de l’éducation 47, n.º 2 (1 de outubro de 2021): 95–121. http://dx.doi.org/10.7202/1082077ar.
Texto completo da fonteTeses / dissertações sobre o assunto "Influenceurs – Réseaux sociaux"
Griset, Léna. "Impact Des Leaders d'Opinion Sur Le Comportement Du Consommateur. Une Application Intersectorielle". Electronic Thesis or Diss., Université Côte d'Azur, 2024. http://www.theses.fr/2024COAZ0009.
Texto completo da fonteSocial media has given rise to a novel landscape where certain users, commonly known as influencers, can connect with a vast audience and earn compensation for their content through influencer marketing. However, the followers of these influencers primarily value their genuine passion and non-commercial approach. Consequently, collaborations between these opinion leaders and brands often give rise to tensions concerning the preservation of perceived authenticity, which may undermine their credibility with their audience.Although researchers have shown interest in this subject, a more comprehensive investigation is required to gain a deeper understanding of this phenomenon. Therefore, this research aims to bridge this gap in the existing literature by examining the influencers' impact on consumer behavior, specifically in the primary goods sector. This work comprises multiple cross-sectoral studies, all directly linked to this phenomenon and applied to primary goods.By the conclusion of this research, we delve into the theoretical and managerial implications of these findings. Understanding how influencers impact consumer behavior and how brands can collaborate with them authentically is essential to gain trust and credibility with their audience. We aspire to provide practical insights that can guide marketing decisions and the management of influencer relationships within the realm of primary goods
El, Majoudi Sanae. "Le rôle des sources interpersonnelles d'information en ligne : le cas des « influenceurs des médias sociaux »". Electronic Thesis or Diss., Bourgogne Franche-Comté, 2024. http://www.theses.fr/2024UBFCG004.
Texto completo da fonteThe advancement of information and communication technologies, especially on the internet, has created an optimal environment for interpersonal interactions and electronic word-of-mouth. Now, consumers are not only influenced by their traditional offline networks but also by a multitude of internet users who share their opinions on products and brands. Identifying the different online interpersonal information sources, capable of impacting internet users, has thus become a critical focus for businesses. Particularly, identifying « social media influencers », highly coveted in influencer marketing (Leung et al., 2022). Indeed, advertising collaborations between brands and « social media influencers » (SMI), have become widespread practices. Brands resort to these individuals to endorse their products in exchange for compensation. However, internet users are increasingly cautious of this type of recommendations, considered not credible due to vested interests. In this case, these communication strategies may have adverse effects on consumer attitudes and behaviors. This study aims to comprehend internet users responses to brand-SMI advertising partnerships by identifying factors that can enhance their effectiveness and the mechanism by which this occurs. To achieve this, and after a review of existing literature, two studies were conducted. Firstly, an exploratory qualitative study involving 22 internet users shed light on user skepticism towards this form of communication and explored factors influencing its effectiveness. Subsequently, a second experimental study involving 868 internet users was conducted to test these findings. This doctoral research thus presents numerous theoretical and managerial contributions. Primarily, factors have been identified as potentially influencing the behavioral responses of internet users towards these communications. These variables are regarded as antecedents to the source « SMI » credibility, which functions as the central mechanism through which their influence occurs
Debure, Jonathan. "Détection de comportements et identification de rôles dans les réseaux sociaux". Electronic Thesis or Diss., Paris, CNAM, 2021. http://www.theses.fr/2021CNAM1290.
Texto completo da fonteSocial networks (SN) are omnipresent in our lives today. Not all users have the same behavior on these networks. If some have a low activity, rarely posting messages and following few users, some others at the other extreme have a significant activity, with many followers and regularly posts. The important role of these popular SN users makes them the target of many applications for example for content monitoring or advertising. After a study of the metadata of these users, in order to detect abnormal accounts, we present an approach allowing to detect users who are becoming popular. Our approach is based on modeling the evolution of popularity in the form of frequent patterns. These patterns describe the behaviors of gaining popularity. We propose a pattern matching model which can be used with a data stream and we show its scalability and its performance by comparing it to classic models. Finally, we present a clustering approach based on PageRank. This work allow to identify groups of users sharing the same role, using the interaction graphs
Ahmed-Boumaza, Amina. "Production et réception de la communication numérique persuasive des PME de luxe au Maghreb : l’influence des e-leaders sur les réseaux sociaux". Electronic Thesis or Diss., Aix-Marseille, 2020. http://www.theses.fr/2020AIXM0578.
Texto completo da fonteFor twenty years, Internet use in the Maghreb has experienced strong growth. The increase in Internet users in this region of the world has brought about significant changes in Maghreb society in the political but also economic fields. The democratization of the Internet in the Maghreb has taken place through social networks as access was initially often limited to social platforms. Our thesis is intended to study the influencing devices set up on social networks by luxury companies in the Maghreb. We study the production methods of these persuasive devices but also their reception and their effects on social users / consumers. Digital social networks have been able to acquire a new dimension while keeping certain bases specific to the traditional social network. These platforms have been able to significantly impact businesses in the Maghreb and amplify the influence characteristics of the traditional social network very focused on the community and the group in this region. Thus, our thesis, which is part of SIC, offers a detailed analysis, on the one hand, of the conception of persuasive communication on social networks with the use of e-ledares by luxury SMEs in the Maghreb, producers of affecting. On the other hand, we are looking at the reception of this persuasive digital communication by consumers. We use a qualitative methodology and in particular semi-structured interviews to question, on the one hand, decision-makers in luxury SMEs in the Maghreb and, on the other hand, consumers. The goal is to understand how everyone perceives this communication on social networks and its influence
Dugué, Nicolas. "Analyse du capitalisme social sur Twitter". Thesis, Orléans, 2015. http://www.theses.fr/2015ORLE2081/document.
Texto completo da fonteBourdieu, a sociologist, defines social capital as : "The set of current or potential ressources linked to the possession of a lasting relationships network". On Twitter,the friends, followers, users mentionned and retweeted are considered as the relationships network of each user, which ressources are the chance to get relevant information, to beread, to satisfy a narcissist need, to spread information or advertisements. We observethat some Twitter users that we call social capitalists aim to maximize their follower numbers to maximize their social capital. We introduce their methods, based on mutual subscriptions and dedicated hashtags. In order to study them, we first describe a large scaledetection method based on their set of followers and followees. Then, we show with an automated Twitter account that their methods allow to gain followers and to be retweeted efficiently. Afterwards, we bring to light that social capitalists methods allows these users to occupy specific positions in the network allowing them a high visibility.Furthermore, these methods make these users influent according to the major tools. Wethus set up a classification method to detect accurately these user and produce a newinfluence score
Lukasik, Stéphanie. "La reformulation de la figure du leader d'opinion au prisme de la réception de l'information des jeunes adultes via les réseaux socionumériques". Electronic Thesis or Diss., Aix-Marseille, 2021. http://www.theses.fr/2021AIXM0124.
Texto completo da fonteSocial-digital networks are linked to the user-receiver activity theorized by the Columbia school. The link between the media system and the social system that the Columbia school anticipated seems all the more relevant with the collect of information via social networks. Henceforth, the media must reckon with social networks and consequently with users-receivers. By sharing information, each user-receiver can become a short-term opinion leader. The one-off act of sharing materializes this new filter which symbolizes the passage to the second step flow of communication. Sharing is therefore the circumstantial reification of personal influence which transforms the user-receiver into an opinion leader. In this 2.0 user-receiver model of the new media digital-social networks ecosystem, 2.0 opinion leaders can be compared to opinion sharers. In order to understand the situations of opinion influence at work in circulation and reception activities, the information filter processes will be studied by taking up the structural elements of the model proposed by the Columbia school. We are interested in what "real people of everyday life" choose and do with media on social-digital networks, like the Columbia school which was interested in the people's choice and in particular in the part played by people in the flow of mass communications. The objective of this research is thus to transpose this Columbia model to the context of social-digital networks in order to update it and redefine, within it, the notion of opinion leader whose acceptance has been altered.Our contribution is therefore that of a social analysis of human communication of information via social-digital networks
Mohammadinejad, Amir. "Consensus opinion model in online social networks based on the impact of influential users". Electronic Thesis or Diss., Evry, Institut national des télécommunications, 2018. http://www.theses.fr/2018TELE0018.
Texto completo da fonteOnline Social Networks are increasing and piercing our lives such that almost every person in the world has a membership at least in one of them. Among famous social networks, there are online shopping websites such as Amazon, eBay and other ones which have members and the concepts of social networks apply to them. This thesis is particularly interested in the online shopping websites and their networks. According to the statistics, the attention of people to use these websites is growing due to their reliability. The consumers refer to these websites for their need (which could be a product, a place to stay, or home appliances) and become their customers. One of the challenging issues is providing useful information to help the customers in their shopping. Thus, an underlying question the thesis seeks to answer is how to provide comprehensive information to the customers in order to help them in their shopping. This is important for the online shopping websites as it satisfies the customers by this useful information and as a result increases their customers and the benefits of both sides. To overcome the problem, three specific connected studies are considered: (1) Finding the influential users, (2) Opinion Propagation and (3) Opinion Aggregation. In the first part, the thesis proposes a methodology to find the influential users in the network who are essential for an accurate opinion propagation. To do so, the users are ranked based on two scores namely optimist and pessimist. In the second part, a novel opinion propagation methodology is presented to reach an agreement and maintain the consistency among users which subsequently, makes the aggregation feasible. The propagation is conducted considering the impacts of the influential users and the neighbors. Ultimately, in the third part, the opinion aggregation is proposed to gather the existing opinions and present it as the valuable information to the customers regarding each product of the online shopping website. To this end, the weighted averaging operator and fuzzy techniques are used. The thesis presents a consensus opinion model in signed and unsigned networks. This solution can be applied to any group who needs to find a plenary opinion among the opinions of its members. Consequently, the proposed model in the thesis provides an accurate and appropriate rate for each product of the online shopping websites that gives precious information to their customers and helps them to have a better insight regarding the products
Mohammadinejad, Amir. "Consensus opinion model in online social networks based on the impact of influential users". Thesis, Evry, Institut national des télécommunications, 2018. http://www.theses.fr/2018TELE0018/document.
Texto completo da fonteOnline Social Networks are increasing and piercing our lives such that almost every person in the world has a membership at least in one of them. Among famous social networks, there are online shopping websites such as Amazon, eBay and other ones which have members and the concepts of social networks apply to them. This thesis is particularly interested in the online shopping websites and their networks. According to the statistics, the attention of people to use these websites is growing due to their reliability. The consumers refer to these websites for their need (which could be a product, a place to stay, or home appliances) and become their customers. One of the challenging issues is providing useful information to help the customers in their shopping. Thus, an underlying question the thesis seeks to answer is how to provide comprehensive information to the customers in order to help them in their shopping. This is important for the online shopping websites as it satisfies the customers by this useful information and as a result increases their customers and the benefits of both sides. To overcome the problem, three specific connected studies are considered: (1) Finding the influential users, (2) Opinion Propagation and (3) Opinion Aggregation. In the first part, the thesis proposes a methodology to find the influential users in the network who are essential for an accurate opinion propagation. To do so, the users are ranked based on two scores namely optimist and pessimist. In the second part, a novel opinion propagation methodology is presented to reach an agreement and maintain the consistency among users which subsequently, makes the aggregation feasible. The propagation is conducted considering the impacts of the influential users and the neighbors. Ultimately, in the third part, the opinion aggregation is proposed to gather the existing opinions and present it as the valuable information to the customers regarding each product of the online shopping website. To this end, the weighted averaging operator and fuzzy techniques are used. The thesis presents a consensus opinion model in signed and unsigned networks. This solution can be applied to any group who needs to find a plenary opinion among the opinions of its members. Consequently, the proposed model in the thesis provides an accurate and appropriate rate for each product of the online shopping websites that gives precious information to their customers and helps them to have a better insight regarding the products
Jendoubi, Siwar. "Influencers characterization in a social network for viral marketing perspectives". Thesis, Rennes 1, 2016. http://www.theses.fr/2016REN1S076.
Texto completo da fonteThe Viral Marketing is a relatively new form of marketing that exploits social networks in order to promote a product, a brand, etc. It is based on the influence that exerts one user on another. The influence maximization is the scientific problem for the Viral Marketing. In fact, its main purpose is to select a set of influential users that could adopt the product and trigger a large cascade of influence and adoptions through the network. In this thesis, we propose two evidential influence maximization models for social networks. The proposed approach uses the theory of belief functions to estimate users influence. Furthermore, we introduce an influence measure that fuses many influence aspects, like the importance of the user in the network and the popularity of his messages. Next, we propose three Viral Marketing scenarios. For each scenario we introduce two influence measures. The first scenario is about influencers having a positive opinion about the product. The second scenario searches for influencers having a positive opinion and influence positive opinion users and the last scenario looks for influencers having a positive opinion and influence negative opinion users. On the other hand, we turned to another important problem which is about the prediction of the social message topic. Indeed, the topic is also an important parameter in the influence maximization problem. For this purpose, we introduce four classification algorithms that do not need the content of the message to classify it, they just need its propagation traces. In our experiments, we compare the proposed solutions to existing ones and we show the performance of the proposed influence maximization solutions and the proposed classifiers
Niu, Jing. "An investigation of marketing communication facilitated by social media platforms". Electronic Thesis or Diss., Jouy-en Josas, HEC, 2023. http://www.theses.fr/2023EHEC0009.
Texto completo da fonteThis thesis predominantly delves into what motivates social media users' interactions (the antecedents), what determines patterns of different users' activities (the content), what influences the effectiveness of social media activities (the implementation), and what determines the outcomes of those activities (the consequences)
Livros sobre o assunto "Influenceurs – Réseaux sociaux"
Mea, Lea. Carnet de Blog: Planner Pour Influencers I Carnet de Blogger I Carnet de Réseaux Sociaux. Independently Published, 2020.
Encontre o texto completo da fonteComment Choisir Son Influenceur Instagram: Quand on Veut Se Lancer en e-Commerce, Comment Choisir Son Influenceur Sur les Réseaux Sociaux, Comme Facebook, Instagram Ou Linkedin... Independently Published, 2020.
Encontre o texto completo da fonteSocial Media Agenda: Planifiez 52 Semaines de Publications, Objectifs et Calendrier de Contenus à Poster Sur les Réseaux Sociaux - Devenez Influenceur Instagram, Youtube, Facebook etc... Faites Grossir Votre Audience. Independently Published, 2021.
Encontre o texto completo da fonteAgenda Social Media: Planifiez 52 Semaines de Publications, Objectifs et Calendrier de Contenus à Poster Sur les Réseaux Sociaux - Devenez Influenceur Instagram, Youtube, Facebook etc... Faites Grossir Votre Audience. Independently Published, 2021.
Encontre o texto completo da fonteEditions, Wifi. Social Media Agenda: Planifiez 52 Semaines de Publications, Objectifs et Calendrier de Contenus à Poster Sur les Réseaux Sociaux - Devenez Influenceur Instagram, Youtube, Facebook etc... Faites Grossir Votre Audience. Independently Published, 2020.
Encontre o texto completo da fonteSocial Media Agenda: Planifiez 52 Semaines de Publications, Objectifs et Calendrier de Contenus à Poster Sur les Réseaux Sociaux - Devenez Influenceur Instagram, Youtube, Facebook etc... Faites Grossir Votre Audience. Independently Published, 2021.
Encontre o texto completo da fonteSocial Media Mon Agenda Stratégique: Planifiez 52 Semaines de Publications, Objectifs et Calendrier de Contenus à Poster Sur les Réseaux Sociaux - Devenez Influenceur Instagram, Youtube, Facebook. . Faites Grossir Votre Audience. Independently Published, 2021.
Encontre o texto completo da fontePorran, Julia. Social Media Agenda: Mon Contenu Digital Beauté - Planifiez 52 Semaines de Publications, Objectifs et Calendrier de Contenus à Poster Réseaux Sociaux - Devenez Influenceur Instagram, Youtube, Facebook... Faites Grossir Votre Audience. Independently Published, 2021.
Encontre o texto completo da fonteLes Bric à Brac d'Annie Edition. Mon Planificateur de Posts: Carnet Pour la Planification de Posts Sur les Réseaux Sociaux - Journal à Remplir Pour l'organisation de Vos Publications - Influenceuse - MLM. Independently Published, 2021.
Encontre o texto completo da fonteEditions, Wifi. Social Media Mon Agenda Stratégique: Planifiez 52 Semaines de Publications, Objectifs et Calendrier de Contenus à Poster Sur les Réseaux Sociaux - Devenez Influenceur Instagram, Youtube, Facebook etc... Faites Grossir Votre Audience. Independently Published, 2020.
Encontre o texto completo da fonteRelatórios de organizações sobre o assunto "Influenceurs – Réseaux sociaux"
Le Béchec, Mariannig, Aline Bouchard, Philippe Charrier, Claire Denecker, Gabriel Gallezot e Stéphanie Rennes. State of open science practices in france (SOSP-FR). Ministère de l'enseignement supérieur et de la recherche, janeiro de 2022. http://dx.doi.org/10.52949/5.
Texto completo da fonte