Semantic modelling of user interests based on cross-folksonomy analysis

The continued increase in Web usage, in particular participation in folksonomies, reveals a trend towards a more dynamic and interactive Web where individuals can organise and share resources. Tagging has emerged as the de-facto standard for the organisation of such resources, providing a versatile and reactive knowledge management mechanism that users find easy to use and understand. It is common nowadays for users to have multiple profiles in various folksonomies, thus distributing their tagging activities. In this paper, we present a method for the automatic consolidation of user profiles across two popular social networking sites, and subsequent semantic modelling of their interests utilising Wikipedia as a multi-domain model. We evaluate how much can be learned from such sites, and in which domains the knowledge acquired is focussed. Results show that far richer interest profiles can be generated for users when multiple tag-clouds are combine

A digital marketing strategy in a fintech start-up: Advicefront

Advicefront is a start-up founded by Portuguese whose core business is developing software planning solutions for financial advisers. The company started in 2015 and attracted the attention of multiple investors and firms interested in accompanying the evolution of the product. Through time, Advicefront crossed some uncertainty periods which eventually led to a shift in product offering. Instead of offering a single software solution the company is now selling a modular approach where separate modules address specific challenges advisers face in their daily workflow. Advicefront has always maintained true to its unique selling proposition, based on showcasing pristinely designed interfaces, integrating with popular tools among advisers, and offering an unmatched user experience for advisers and investors, adapting to each user profile’s actions and intended outcomes. The financial advice software market is still attached to old-fashioned paper-based processes and bureaucracies which are becoming obsolete. Adding to this, the sector going through not only a shift in players, since many advisers are approaching retirement, but also a renovation of investors, as millennials are now becoming financially independent with an investment-oriented approach to their income. Thereby, considering this market in turmoil, Advicefront has an incredible market opportunity to present a software shaped to serve these new populations of advisers and investors. The present project aims to propose a marketing plan for Advicefront branching in a strategic plan as well as an operational plan with recommended actions for each aspect of the marketing-mix. It is also presented a communication plan to be implemented during 2019.A Advicefront é uma start-up cujo principal negócio é desenvolver software de planeamento para consultores financeiros. A empresa surgiu em 2015 e atraiu a atenção de investidores e empresas interessadas em acompanhar a evolução do produto. Com o tempo, a Advicefront ultrapassou períodos de instabilidade que culminaram numa mudança na oferta. Ao invés de oferecer uma única solução de software a empresa desenvolveu um sistema onde módulos separados respondem a necessidades específicas do fluxo de trabalho de consultoria financeira. A Advicefront manteve-se sempre fiel à sua proposta de valor, baseada na criação de interfaces com um design de excelência, na integração com ferramentas populares, e oferecendo uma experiência de utilização inigualável, adaptando-se ao perfil do usuário. O mercado de software de consultoria financeira está ligado a processos antiquados e burocráticos que estão a tornar-se cada vez mais obsoletos. Somando o facto de ser ainda um setor a atravessar um rejuvenescimento de consultores, uma vez que muitos estão a aproximar-se da reforma, mas também uma renovação de investidores. Os millennials estão a tornar-se financeiramente independentes e com orientados para investirem os seus rendimentos. Considerando este mercado em tumulto, a Advicefront tem uma oportunidade no mercado para apresentar um software desenvolvido para responder à nova população de consultores e investidores. Este projeto visa propor um plano de marketing para a Advicefront que se ramifica num plano estratégico bem como um plano operacional com ações recomendadas para cada aspeto do marketing-mix. É ainda apresentado um plano de comunicação a ser implementado em 2019

FRECOMTWEET: PRODUCT RECOMMENDATION APPLICATION USING FRIENDSHIP CLOSENESS ON TWITTER

The information and communication technology development makes someone interact with each other easier. This convenience is used to exchange ideas, like using social media Twitter for product recommendations before buying it. It brings up a trend that consumers seek product recommendations through other people on social media. Social media, especially Twitter, has several features such as tweets, ReTweet and mentions to interact with other people. Users can describe the product, attach a link, and give a positive or negative rating in a tweet. These types of tweets can be used as an alternative to product recommendations. FrecomTweet is an Android-based product recommendation application that can detect close friendships based on the user’s ReTweet and mentions. This application also detects a product recommendation that appears in a conversation between users. This detection uses the keyword filtering method, which matches the conversation content with the markers in the database. If the conversation has a positive rating, it will recommend the user’s closest friends. This research uses a crawling method with the Twitter API streaming filter built using the CodeIgniter framework. The results of the black box test show that Twitter user conversations can be used as a product recommendation with a precision and recall value of 0.94 and 0.81, respectively

Disinformation and propaganda – impact on the functioning of the rule of law in the EU and its Member States. Study Requested by the LIBE committee. CEPS Special Report, February 2019

This study, commissioned by the European Parliament’s Policy Department for Citizens’ Rights and Constitutional Affairs and requested by the European Parliament’s Committee on Civil Liberties, Justice and Home Affairs, assesses the impact of disinformation and strategic political propaganda disseminated through online social media sites. It examines effects on the functioning of the rule of law, democracy and fundamental rights in the EU and its Member States. The study formulates recommendations on how to tackle this threat to human rights, democracy and the rule of law. It specifically addresses the role of social media platform providers in this regard

AI in Content Curation and Media Pluralism

This part focuses on the use of AI in content curation, addressing the impact of data-driven content recommender systems on diversity and media pluralism. This part and the next one highlighting shortcomings of AI-based content curation and targeted advertising provide human rights-centred recommendations to prevent the negative impact of AI tools in content curation on the right to freedom of opinion and expression