This master's thesis is focused on geolocation and visualization of IPv6 addresses. Several current approaches to geolocation have been discussed. Its main goal is to design geolocation database with regular updates with ability to visualize geographic location of the IPv6 address on the world map. Implemented system is gathering data about IPv6 prefixes from public Whois database. Gathered geographical addresses are mapped into coordinates by Google Maps Geocoding API. All gathered data are being saved into database together. Locations of IPv6 addresses are visualized via web-based Google Maps API. Moreover, the density mapping of IPv6 address blocks in particular countries can be visualized too.

This master's thesis is focusedurity extension DNSSEC of DNS system. It will go trough the basics of securing DNS by DNSSEC and possibilities of collecting information about the state of DNSSEC in present. Its main goal is to design application, which will be monito- ring security state of TLD and SLD domains. Implemented system is gathering information from public Whois database. Gathered information are transformed to geographical coor- dinates by Google Maps API. All gathered information are stored in database and placed on geographical map of the world by Google Maps Api.

The aim of the thesis was to find out what information of personal and impersonal nature users provide to Google in exchange for free use of its services and what image of digital identity can be compiled from this information. Since the concept of digital identity can be interpreted in different ways, its meaning is first determined for the purposes of this study. For a better understanding of the subject is further described a brief history and present of Google and the services it offers. Range of digital identity is influenced by the company's policy on the collection and storage of user data. For this reason, it is discussed in a separate chapter. The next part presents tools for managing digital identity available within the user account. In the practical part the real user data from all services associated with the user account were analyzed.

With the help of investor search behavior on Google, we study the possibilities of predicting the closing price of an initial public offering after its first day on the market. During the sample period of 2017 to 2020 we find a significant positive correlation between companies whose name has an increased google-search-value during its initial offering period, and a higher return after the first day on the market. / Denna uppsats undersöker möjligheterna att använda sig av företagsspecifika Googlesökningar för att predicera en akties slutkurs första handelsdag efter en börsintroduktion. Under observationsperioden 2017 till 2020 finner vi ett signifikant positivt samband mellan de företag vars namn ökar i antal sökningar på Google under teckningsperioden, och en högre avkastning under första handelsdag.

Search Engine Optimization (SEO) is the technique of improving Web sites visibility in search engines. Since the algorithms that search engines are based on become more intelligent each day, there is a constant urge for new knowledge. In collaboration with RankTrail, new research for discovering insights about SEO has been conducted. Hypotheses around alleged ranking factors have been created based on qualitative interviews. Through a quantitative case study these hypotheses have been analyzed. The first part of the analysis consisted of calculating the Spearman’s Rank-Order Correlation. Secondly, these correlations has been visualised using histograms. Additional statistical tests have been performed. Number of images, use of HTTPS and use of a custom meta-description stand out amongst all factors analyzed. All three have a higher mean, but also a higher effect size calculated from Cohen’s d. However, the results of this study show that none of the factors indicate a strong impact on SEO.

According to eMarketer, the total advertising spend in US alone was estimated to be over $238 billion. Firms invest large amounts of money in advertising to promote and inform consumers about their products and services, as well as to persuade them to purchase. The broad theme of advertising has been examined from many different angles in the marketing literature, ranging from empirically measuring effects of TV ads on sales to analytically characterizing the key economic forces stemming from enhanced targetability in online advertising. The purpose of my dissertation is to study some of the key questions which remain unaddressed in the advertising literature. In the first essay, I examine firms' choices of advertising content in a competitive setting. I demonstrate that competitive forces sometimes induces firms to choose advertising content that shifts consumers' perception of product quality. While this strategy hurts firms in a monopoly setting, it increases their profits under competition because it may increase the utility of their offering in comparison with the competing offering. In the second essay, I investigate the optimal mechanism for selling online ads in a learning environment. Specifically, I show that when ad sellers, such as Google, design their ad auctions, it is optimal for them to favor new advertisers in the auction in order to expedite learning their ad performance. In the third essay, I study the impact of tracking consumers' Internet activities on the online advertising ecosystem in the presence of regulations that, motivated by privacy concerns, endow consumers with the choice to have their online activity be tracked or not. I find that when ad effectiveness is intermediate, fewer ads are shown to opt-in consumers, who can be tracked and have their funnel stages inferred by advertisers, than to opt-out consumers, who cannot be tracked. In this case, consumers trade-off the benefit of seeing fewer ads by opting-in to tracking (positive instrumental value of privacy) with the disutility they feel from giving up their privacy (intrinsic cost of privacy). Overall, these findings shed light on novel strategic forces that provide guidance for marketers' advertising decisions in three distinct contexts.

The diploma thesis focuses on the issue of movement and interaction in virtual reality and then shows the design and concrete example of the application.

Diploma thesis is focused on creating a strategy and evaluating an effectivity of PPC campaigns of the e-shop called Factcool. Introduction of the diploma thesis is dedicated to the currently most used online advertising systems Google Ads and Facebook Ads. The PPC strategy is created based on the worked-out analysis of the current state.Thestrategy andcampaignseffectivity are evaluated with use of analytical platforms. The main goal of the diploma thesis is to find any drawbacks of the strategy and to come up with ideas for improvement not only for the specific e-shop, but also for the whole industry.

A thematic unit on immigration and migration in the United States provided a useful scaffold for engaging all students, including elementary English learners, in academic language learning.

Google är världens största sökmotor och ett forum som har en enorm makt att via internet kunna påverka människans perception och dess syn på verkligheten. Den information och kunskap som människor får ta del av via Google blir på något sätt en självklarhet och ses som det sanna och det normala. Om endast en grupp av människor får synas och ta plats genom Google, innebär detta en problematik. Syftet med studien är att undersöka om Google Images bidrar till att främja vithetsnormen samt könsstereotyper.   Metod och material: En kvantitativ innehållsanalys har genomförts utifrån totalt 1.500 bilder via Google Images.    Huvudresultat: Resultatet visar på att vita personer förekommer i en majoritet av sökresultaten, medan icke-vita personer är betydligt mer underrepresenterade. Detta tyder på att vithetsnormen främjas och får komma till uttryck via Google Images, samtidigt som vithet normaliseras. Resultatet visar även på att män tenderar att kopplas samman med egenskaper såsom mäktig, rationell och tuff medan kvinnor kopplas samman med egenskaper såsom omhändertagande, vänlig och emotionell. Detta skulle kunna tyda på att sökresultaten via Google har tendenser att stereotypiskt kategorisera människor utifrån vad som anses vara “manligt” och “kvinnligt”. Slutsatsen av studien pekar därmed mot att sökresultaten i Google Images kan karaktäriseras av en vithetsnorm och stereotypa uttryck för vad som är manligt och kvinnligt.