Instant messaging is a popular form of communication over the Internet. Statistics show that instant messaging has overtaken email in popularity. Traditionally, instant messaging has consisted of a desktop client communicating with other clients via an instant messaging service provider. However, instant messaging solutions are starting to become available in the web browser–services like Google Talk, Live Messenger and Facebook. Despite the work done by researchers to secure instant messaging networks, little work has been done to secure instant messaging in the browser. We present secure browser-based instant messaging overlays as a means to enable convenient, secure communication in existing browser-based instant messaging interfaces. Additionally, we present a prototype implementation of the secure messaging overlays and the results of two user studies--the first study focusing on user interest in secure chat and the second being a usability study of the prototype.

Background:          Social Media are part of everyday life so much so that a new disorder has been observed. The disorder is Social Media Addiction and is still not officially acknowledged as a non-substance addiction by APA. There are a lot of studies that examine the symptoms and causes of Social Media Addiction. A relief to Social Media Addiction is taking a break for a period from them. There are a few studies that investigate the benefits of a Social Media Break but not the side effects of it in relation to Social Media Addiction. Purpose:                  The purpose of this study is to understand the relationship between a Social Media Break and Social Media Addiction among Millennials in Sweden. This study aims to understand how Millennials in Sweden that are addicted to Social Media are affected by a Social Media break.  Method:                  The Bachelor Thesis uses Case Study as the methodology to discover how a Social Media Break affects a user that is addicted. The participants are Millennials that reside in Sweden and the Social Medium application is Facebook. Conclusion:             The findings from the Case Study show that there is a strong relationship between a Social Media Break and Social Media Addiction. The Millennials in this study expressed that Habit, Accessibility, Socializing and Fear of Missing Out were the reasons that made them return to their problematic Facebook relationship while taking a Break, or in other cases did not take a Break from Facebook.

Studien inkluderar både kvantitativa och kvalitativa data och undersöker huruvida bildinnehåll inger förtroende i köp- och sälj-grupper på Facebook. Vidare undersöks även sambandet mellan förtroende och bilder samt medlemsantal i denna typ av C2C-relaterade grupper. Empirin utgörs av en kvantitativ webbenkät med 319 insamlade svar samt åtta kvalitativa samtalsintervjuer vilka hjälper till att skapa ökad förståelse för studiens kvantitativa data. Resultatet visar att miljöbilder väger tyngst för konsumenters förtroende, vilket i studien representeras av stadsmiljöer. Vi kan inte säga om det finns ett samband mellan förtroende och medlemsantal i denna typ av grupper online, då resultatet från de olika insamlingsmetoderna motsäger varandra. Vad vi dock kan konstatera är att bildinnehåll påverkar tilliten för grupperna, och stadsbilder verkar vara de bilder som inger störst förtroende bland de undersökta köp- och sälj-grupperna på Facebook. / The following report is based on quantitative and qualitative data and examines whether image content inspires trust in buy and sell-groups on Facebook. Further the study aims to examine the relationship between trust and membership in C2C-related groups. The empirical quantitative data consists of a web survey with 319 answers and the qualitative data consists of eight short interviews which creates a wider understanding for the data. The result indicates that environmental images weighs most heavily on consumer’s trust, which in this study is represented by city images. We cannot say whether there is a relationship between trust and membership in such groups online, were we got a contradictory result in our data. What we can state is that image content affects the groups credibility, and images of cities are the ones that seems to create the highest level of credibility in the analyzed Facebook groups.

This paper, ”How can you use such kind of oppression against women in your advertising!!!”- A qualitative study of the response H&M and Åhléns recieved due to their campaigns with veild women” is about how the veil and the veild woman are mentioned in the respons of the campaigns and which values that can provide the veiled woman in the society. To find this out, I have used a critical text analysis where I have analyzed the vocabulary and sentence structure. The theories underlying this study are post-colonial feminism, Stuart Halls representation and the New media landscape. All of these theories has been used to analyse the material. The results showed that the veil was both mentioned as a symbol of oppression and freedom and the veild woman was someone who, for some people, both fought for justice and a free society and by some, someone who is deeply oppressed. The conclusions that can be drawn from the results is that the veil, still is something that is seen as an oppression of women, and doesn’t belong in Sweden. But it is also possible to interpret it in such a way that the veil is something that has come to be accepted in society, and for many, gained a new and different meaning from before. The main conclusion is that the veil still is something that is highly debated and that the veiled woman is someone that the western countries have different views on.

Der Trend zur Auswertung aller nur möglichen Datenbestände für kommerzielle Zwecke ist eine nicht mehr aufzuhaltende Entwicklung. Auch für die Kreditwürdigkeitsprüfung wird überlegt, Daten aus Sozialen Netzwerken einzusetzen. Die Forschungsfrage entsteht, wie die Nutzer dieser Netzwerke reagieren, wenn Banken ihre privaten Profile durchsuchen. Mit Hilfe einer Befragung von 271 Probanden wurde dieses Problem erforscht. Die Ergebnisse sind wie folgt: Die betroffenen Bürger sehen die Entwicklung mit Sorge. Sie begreifen ganz rational die neuen Geschäftsmodelle und ihre Logik und erkennen die Vorteile. Sie stehen dem Big-Data-Ansatz nicht vollkommen ablehnend gegenüber. Abgelehnt wird es aber, wenn sich Daten aus sozialen Medien negativ für eine Person auswirken. Wenn man schon sein Facebook-Profil einer Bank öffnet, dann will man einen Vorteil davon haben, keinen Nachteil. Ein Teil der Gesellschaft lehnt das Schnüffeln in privaten Daten strikt ab. Insgesamt sind die Antworten deutlich linksschief verteilt mit einem sehr dicken Ende im ablehnenden Bereich. Das Schnüffeln in privaten Daten wird als unethisch und unfair empfunden. Die Menschen fühlen sich im Gegenzug berechtigt, ihre Facebook-Daten zu manipulieren. Eine wie-Du-mir-so-ich-Dir-Mentalität ist festzustellen. Wer kommerziell ausgeschnüffelt wird, der antwortet kommerziell mit Manipulationen seiner Daten. Insgesamt ist Banken zu raten, nicht Vorreiter der Entwicklung zu sein, sondern abzuwarten, welche Erfahrungen Fintechs machen. Banken haben zu hohe Opportunitätskosten in Form des Verlustes von Kundenvertrauen. / The trend to analyze all conceivable data sets for commercial purposes is unstoppable. Banks and fintechs try to use social media data to assess the creditworthiness of potential customers. The research question is how social media users react when they realize that their bank evaluates personal social media profiles. An inquiry among 271 test persons has been performed to analyze this problem. The results are as follows: The persons are able to rationally reflect the reasons for the development and the logic behind big data analyses. They realize the advantages, but also see risks. Opening social media profiles to banks should not lead to individual disadvantages. Instead, people expect an advantage from opening their profiles voluntarily. This is a moral attitude. An important minority of 20 to 30 % argues strictly against the commercial use of social media data. When people realize that they cannot prevent the commercial use of private data, they start to manipulate them. Manipulation becomes more extensive when test persons learn about critical details of big data analyses. Those who realize that their private data are used commercially think it would be fair to answer in the same style. So the whole society moves into a commercial direction. To sum up, banks should be reluctant and careful in analyzing private client big data. Instead, banks should give the lead to fintechs as they have fewer opportunity costs, because they do not depend on good customer relations for related products.

„Socialinis tinklas – interaktyvi interneto struktūra (interneto svetainė) vienijanti tam tikrą, bendrų interesų turinčią narių grupę, kuri ir kuria konkrečios svetainės turinį ir virtualiai bendrauja tarpusavyje, automatizuotomis konkrečios svetainės priemonėmis. Socialiniai tinklai – paskutiniu metu aktyviai besivystanti interneto dalis, kuriai galima priskirti tiek paprastus diskusijų forumus, tiek sudėtingus visuomeninius ir (ar) komercinius interneto projektus.“ Pats populiariausias socialinis tinklas Pasaulyje yra facebook.com, http://www.socialbakers.com teigimu Lietuvoje turintis 1 132 000 vartotojų. Taip pat didžioji dalis didelįų įmonių ir prekės ženklų turi savo įmonės/prekės ženklo puslapį facebook.com socialiniame tinkle, tokiu būdu siekdami padidinti pardavimus, prekinio ženklo žinomumą. Pagrindinė problema naujiems puslapiams, kad darosi vis sunkiau pritraukti naujų fanų. Puslapių savininkai rengia įvarius konkursus, kurie yra mažai efektyvūs, jais nepasiekiama planuoto rezultato. Facebook.com taip pat suteikia galimybę kurti programas trečiosioms šalims, kurių pagalba jie gali pasiekti informaciją esančią facebook.com duomenų bazėse, naudotis jų suteiktomis funkcijomis. Jų efektyvumas nepalyginamai didesnis, nei anksčiau minėtų akcijų ir konkursų. Tačiau tokių programų kūrimas kainuoja dideles sumas. Kuriama aplikacija, skirta be jokių programavimo žinių įdiegti ją į savo serverį ir taip didinti savo puslapio žinomumą. Programos pagalba vartotojai už... [toliau žr. visą tekstą] / Social networks becoming more and more popular and they have an increasingly important role for every people and also for busines. Curently, there are many social networs, but the famuos is facebook. And the Facebook allows you to create applications third parties.The aplications can be used for games, comunication, but mostly for busines. There is a document about application of company marketing in facebook social network, which helps to popularize Facebook page. And here you can find analytical, requirements specification, specification of software architecture, testing conclusions, and also user documentation parts. In analytical part you can find similar systems comparison and why social aplicacions is nessary for busines. Requirements specification describes complete description of the behavior of a system to be developed and includea a set of use cases that describe interactions the users will have with the software. In addition it also contains functional and non-functional requirements. Testing document presents the results of testing and possible system errors. User documentations hows how to use the system and iliustrates it with lots of screenshots.

Submitted by Programa de Pós-Graduação em Mídia e Cotidiano (ppgmc@vm.uff.br) on 2017-05-04T20:44:07Z No. of bitstreams: 1 UNIVERSIDADE FEDERAL FLUMINENSE - Marcelo Machado da Motta.pdf: 1628795 bytes, checksum: f04d8d77d44f6ee401ea86c7c6cd49d9 (MD5) / Approved for entry into archive by Josimara Dias Brumatti (bcgdigital@ndc.uff.br) on 2017-06-12T14:39:12Z (GMT) No. of bitstreams: 1 UNIVERSIDADE FEDERAL FLUMINENSE - Marcelo Machado da Motta.pdf: 1628795 bytes, checksum: f04d8d77d44f6ee401ea86c7c6cd49d9 (MD5) / Made available in DSpace on 2017-06-12T14:39:12Z (GMT). No. of bitstreams: 1 UNIVERSIDADE FEDERAL FLUMINENSE - Marcelo Machado da Motta.pdf: 1628795 bytes, checksum: f04d8d77d44f6ee401ea86c7c6cd49d9 (MD5) / Este estudo propõe uma reflexão sobre a influência causada pela participação mais expressiva dos leitores nas produções jornalísticas, por meio das possibilidades de interatividade, obtidas através das fanpages do Facebook. Como o jornalismo na atualidade tem lidado com a instantaneidade na difusão de informações, em que medida as novas narrativas midiáticas têm lidado com as novas plataformas informativas. Nesse aspecto, este estudo também busca analisar a mudança de postura das empresas jornalísticas, na tentativa de maior participação e interação com um público, cada vez mais produtor conjunto de conteúdos informativos. O recorte principal de análise serão as fanpages do portal Brasil 247 e revista Veja, juntamente com suas coberturas jornalísticas acerca da abertura do processo de impeachment da presidente Dilma Roussef. Além do recorte principal, analisaremos situações específicas dos jornais Extra, do Rio de Janeiro, e Folha de São Paulo. Serão feitos estudos de situações, nas quais fica explícita a interação direta entre jornal e leitor, por meio do espaço de comentário. Na análise principal investigaremos as práticas jornalísticas através da segmentação de público, ou seja, como as empresas jornalísticas buscam estratégias e posicionamentos, de acordo com o seu público / This study offers an analysis of the influence caused by the greater share of readers in the journalistic productions, through the possibilities of interactivity, obtained through the Facebook fanpages. How journalism today has dealt with the immediacy in the dissemination of information and the extent to which new media narratives have been dealing with the new informative platforms. In this regard, this study also seeks to analyze the change of position of media companies in an attempt to more participation and interaction with a public increasingly producer of informative content. The main crop analysis will be Brazil 247 portal fanpages and Veja magazine along with their news coverage about the opening of the impeachment of President Dilma Roussef. Besides the main crop, we analyze specific situations of Extra newspaper, in Rio de Janeiro, and Folha de São Paulo. Studies will be made of situations in which it is explicit direct interaction between paper and reader via the comment space. In the main analysis investigate journalistic practices through audience segmentation, that is, as newspaper companies seek strategies and positions, according to your audience

Der Trend zur Auswertung aller nur möglichen Datenbestände für kommerzielle Zwecke ist eine nicht mehr aufzuhaltende Entwicklung. Auch für die Kreditwürdigkeitsprüfung wird überlegt, Daten aus Sozialen Netzwerken einzusetzen. Die Forschungsfrage entsteht, wie die Nutzer dieser Netzwerke reagieren, wenn Banken ihre privaten Profile durchsuchen. Mit Hilfe einer Befragung von 271 Probanden wurde dieses Problem erforscht. Die Ergebnisse sind wie folgt: Die betroffenen Bürger sehen die Entwicklung mit Sorge. Sie begreifen ganz rational die neuen Geschäftsmodelle und ihre Logik und erkennen die Vorteile. Sie stehen dem Big-Data-Ansatz nicht vollkommen ablehnend gegenüber. Abgelehnt wird es aber, wenn sich Daten aus sozialen Medien negativ für eine Person auswirken. Wenn man schon sein Facebook-Profil einer Bank öffnet, dann will man einen Vorteil davon haben, keinen Nachteil. Ein Teil der Gesellschaft lehnt das Schnüffeln in privaten Daten strikt ab. Insgesamt sind die Antworten deutlich linksschief verteilt mit einem sehr dicken Ende im ablehnenden Bereich. Das Schnüffeln in privaten Daten wird als unethisch und unfair empfunden. Die Menschen fühlen sich im Gegenzug berechtigt, ihre Facebook-Daten zu manipulieren. Eine wie-Du-mir-so-ich-Dir-Mentalität ist festzustellen. Wer kommerziell ausgeschnüffelt wird, der antwortet kommerziell mit Manipulationen seiner Daten. Insgesamt ist Banken zu raten, nicht Vorreiter der Entwicklung zu sein, sondern abzuwarten, welche Erfahrungen Fintechs machen. Banken haben zu hohe Opportunitätskosten in Form des Verlustes von Kundenvertrauen. / The trend to analyze all conceivable data sets for commercial purposes is unstoppable. Banks and fintechs try to use social media data to assess the creditworthiness of potential customers. The research question is how social media users react when they realize that their bank evaluates personal social media profiles. An inquiry among 271 test persons has been performed to analyze this problem. The results are as follows: The persons are able to rationally reflect the reasons for the development and the logic behind big data analyses. They realize the advantages, but also see risks. Opening social media profiles to banks should not lead to individual disadvantages. Instead, people expect an advantage from opening their profiles voluntarily. This is a moral attitude. An important minority of 20 to 30 % argues strictly against the commercial use of social media data. When people realize that they cannot prevent the commercial use of private data, they start to manipulate them. Manipulation becomes more extensive when test persons learn about critical details of big data analyses. Those who realize that their private data are used commercially think it would be fair to answer in the same style. So the whole society moves into a commercial direction. To sum up, banks should be reluctant and careful in analyzing private client big data. Instead, banks should give the lead to fintechs as they have fewer opportunity costs, because they do not depend on good customer relations for related products.

The opinion of customers about companies are very important as this can influence a company’s profit. Companies often get customer feedback via surveys or other official methods in order to improve their services. However, some customers feel threatened when their opinions are publicly asked and thus prefer to voice their opinion on the internet where they take comfort in anonymity. This form of customer feedback is difficult to monitor as the information can be found anywhere on the internet and new information is generated at an astonishing rate. Currently there are companies such as Brandseye and Brand.Com that provide online reputation management services. These services have various shortcomings such as cost and is incapable of accessing historical data. Companies are also not allowed to purchase these software and can only use the software on a subscription basis. The design proposed in this document will be able to scan any number of user defined websites and save all the information found on the websites in a series of index files, which can be queried for occurrences of user defined keywords at any time. Additionally, the software will also be able to scan Twitter and Facebook for any number of user defined keywords and save any occurrences of the keywords to a database. After scanning the internet, the results will be passed through a similarity filter, which will filter out insignificant results as well as any duplicates that might be present. Once passed through the filter the remaining results will be analysed by a sentiment analysis tool which will determine whether the sentence in which the keyword occurs is positive or negative. The analysed results will determine the overall reputation of the keyword that was used. The proposed design has several advantages over current systems: - By using the modular design several tasks can execute at the same time without influencingeach other. For example; information can be extracted from the internet while existing resultsare being analysed. - By providing the keywords and websites that the system will use the user will have full controlover the online reputation management process. - By saving all the information contained in a website the user will be able to take historicalinformation into account to determine how the keywords reputation changes over time. Savingthe information will also allow the user to search for any keyword without rescanning theinternet. The proposed system was tested and successfully used to determine the online reputation of many user defined keywords. / MIng (Computer and Electronic Engineering), North-West University, Potchefstroom Campus, 2015

The opinion of customers about companies are very important as this can influence a company’s profit. Companies often get customer feedback via surveys or other official methods in order to improve their services. However, some customers feel threatened when their opinions are publicly asked and thus prefer to voice their opinion on the internet where they take comfort in anonymity. This form of customer feedback is difficult to monitor as the information can be found anywhere on the internet and new information is generated at an astonishing rate. Currently there are companies such as Brandseye and Brand.Com that provide online reputation management services. These services have various shortcomings such as cost and is incapable of accessing historical data. Companies are also not allowed to purchase these software and can only use the software on a subscription basis. The design proposed in this document will be able to scan any number of user defined websites and save all the information found on the websites in a series of index files, which can be queried for occurrences of user defined keywords at any time. Additionally, the software will also be able to scan Twitter and Facebook for any number of user defined keywords and save any occurrences of the keywords to a database. After scanning the internet, the results will be passed through a similarity filter, which will filter out insignificant results as well as any duplicates that might be present. Once passed through the filter the remaining results will be analysed by a sentiment analysis tool which will determine whether the sentence in which the keyword occurs is positive or negative. The analysed results will determine the overall reputation of the keyword that was used. The proposed design has several advantages over current systems: - By using the modular design several tasks can execute at the same time without influencingeach other. For example; information can be extracted from the internet while existing resultsare being analysed. - By providing the keywords and websites that the system will use the user will have full controlover the online reputation management process. - By saving all the information contained in a website the user will be able to take historicalinformation into account to determine how the keywords reputation changes over time. Savingthe information will also allow the user to search for any keyword without rescanning theinternet. The proposed system was tested and successfully used to determine the online reputation of many user defined keywords. / MIng (Computer and Electronic Engineering), North-West University, Potchefstroom Campus, 2015