Metigy, the world's leading artificial intelligence (AI) digital marketing solution for SMEs, has partnered with Social Status, a provider of social media analytics and reporting tools, to understand the impact of AI-powered marketing strategies. Point B Establishes Partnership with Vettd.ai, Together, Metigy and Social Status explored the metrics that matter when measuring the success of a digital marketing campaign to produce the Social Media Benchmarking Report: Q2 2021. The new report analysed hundreds of thousands of social media posts across 11,000 Social Status accounts and compared the findings to 5,000 Metigy accounts during Q2 2021. It revealed that savvy businesses using AI as part of their social media strategies saw greater results than the benchmark standards.

It's an age-old question – what makes someone attractive? We often say things like "beauty is in the eye of the beholder" but while this romantic notion may bring comfort to those dealt a poor hand in life, it also gives the impression that the foundations of attractiveness are elusive and unpredictable. It suggests that what each of us sees as an attractive trait – whether physical or psychological – is so variable that everyone must be looking for something different. While there is variety in what each of us regards as beautiful, cutting through this noise are common and consistent preferences. Psychological traits such as a sense of humor, intelligence, and kindness are generally sought after.

It is an age-old question – what makes someone attractive? We often say things like'beauty is in the eye of the beholder' but while this romantic notion may bring comfort to those dealt a poor hand in life, it also gives the impression that the foundations of attractiveness are elusive and unpredictable. It suggests that what each of us sees as an attractive trait – whether physical or psychological – is so variable that everyone must be looking for something different. Is beauty in the eye of the beholder? Researchers plan to measure dozens of volunteers' characteristics – including humour, intelligence, impulsivity, facial symmetry, strength, and more.

Humans are social by nature. Throughout history, people have formed communities and built relationships. Most relationships with coworkers, friends, and family are developed during face-to-face interactions. These relationships are established through explicit means of communications such as words and implicit such as intonation, body language, etc. By analyzing human interactions we can derive information about the relationships and influence among conversation participants. However, with the development of the Internet, people started to communicate through text in online social networks. Interestingly, they brought their communicational habits to the Internet. Many social network users form relationships with each other and establish communities with leaders and followers. Recognizing these hierarchical relationships is an important task because it will help to understand social networks and predict future trends, improve recommendations, better target advertisement, and improve national security by identifying leaders of anonymous terror groups. In this work, I provide an overview of current research in this area and present the state-of-the-art approaches to deal with the problem of identifying hierarchical relationships in social networks.

In 2014 researchers at the MIT Media Lab designed an experiment called Moral Machine. The idea was to create a game-like platform that would crowdsource people's decisions on how self-driving cars should prioritize lives in different variations of the "trolley problem." In the process, the data generated would provide insight into the collective ethical priorities of different cultures. The researchers never predicted the experiment's viral reception. Four years after the platform went live, millions of people in 233 countries and territories have logged 40 million decisions, making it one of the largest studies ever done on global moral preferences.

Valve's Team Fortress 2 (TF2) is a vastly popular online first-person shooter (FPS) with a fanbase and support that stems back a decade. It's rare that a FPS continues to carry such a strong community. However, it's fair to say that TF2 has continued to evolve as a platform, with significant changes to this weird and eclectic shooter since its original launch back in 2007. But it's not the game itself I'm interested in today -- given that I typically talk about the AI that works behind the scenes. Rather, I'm going to talk about at its community.

I recently participated in a meeting of technologists, economists and European philosophers and theologians. Other attendees included Andrew McAfee, Erik Brynjolfsson, Reid Hoffman, Sam Altman, Father Eric Salobir. One of the interesting things about this particular meeting for me was to have a theological (in this case Christian) perspective to our conversation. Among other things, we discussed artificial intelligence and the future of work. The question about how machines will replace human beings and place many people out of work is well worn but persistently significant.

I recently participated in a meeting of technologists, economists and European philosophers and theologians. Other attendees included Andrew McAfee, Erik Brynjolfsson, Reid Hoffman, Sam Altman, Father Eric Salobir. One of the interesting things about this particular meeting for me was to have a theological (in this case Christian) perspective to our conversation. Among other things, we discussed artificial intelligence and the future of work. The question about how machines will replace human beings and place many people out of work is well worn but persistently significant. Sam Altman and others have argued that the total increase in productivity will create an economic abundance that will enable us to pay out a universal "basic income" to those who are unemployed.

I recently participated in a meeting of technologists, economists and European philosophers and theologians. Other attendees included Andrew McAfee, Erik Brynjolfsson, Reid Hoffman, Sam Altman, Father Eric Salobir. One of the interesting things about this particular meeting for me was to have a theological (in this case Christian) perspective to our conversation. Among other things, we discussed artificial intelligence and the future of work. The question about how machines will replace human beings and place many people out of work is well worn but persistently significant.

Social status, defined as the relative rank or position that an individual holds in a social hierarchy, is known to be among the most important motivating forces in social behaviors. In this paper, we consider the notion of status from the perspective of a position or title held by a person in an enterprise. We study the intersection of social status and social networks in an enterprise. We study whether enterprise communication logs can help reveal how social interactions and individual status manifest themselves in social networks. To that end, we use two enterprise datasets with three communication channels --- voice call, short message, and email --- to demonstrate the social-behavioral differences among individuals with different status. We have several interesting findings and based on these findings we also develop a model to predict social status. On the individual level, high-status individuals are more likely to be spanned as structural holes by linking to people in parts of the enterprise networks that are otherwise not well connected to one another. On the community level, the principle of homophily, social balance and clique theory generally indicate a "rich club" maintained by high-status individuals, in the sense that this community is much more connected, balanced and dense. Our model can predict social status of individuals with 93% accuracy.