A breathtakingly beautiful time-lapse of our home planet taken from a window with a much better view than yours.
Let it sink in a minute that a site like this exists. Then look at the numbers.
If a bullhorn shouts tweets in a forest and nobody’s there to hear it, does the bullhorn make a sound?
Social media is used to connect but concurrently serves as a disconnect from social life outside of the virtual world. In Listen and Repeat, a modified megaphone uses text to speech capabilities to recite tweets composed with the tag ‘nobody listens’ from the social media website Twitter. The megaphone has been installed on a mountain in Washington state and dictates tweets to an audience of trees.
new york city-based photographer michael vahrenwald looks at monumental US bank buildings that have surrendered to a sad fate: abandoned, forgotten, and overrun by contemporary commercial businesses. his series of photographs, ‘the people’s trust’, captures the final chapter of their tremendous career as financial institutions, their legacies shrouded beneath shoe store signage and decomposing advertisements. through the lens, the structures are almost personified as heartbreakingly unemployed, disoriented by their identity, purpose, and future worth. spanning urban neighborhoods throughout new york city and detroit, the square-shot portraits reveal a cultural and economical shift from an era in which these fiscal establishments radiated with power and prosperity, to the ambiguous state in which they currently find themselves.
An ode to dive art.
Tokujin Yoshioka's Crystallized PaintingsAs new works for this exhibition, Tokujin Yoshioka presented the crystallized paintings drawn by the vibration of music “Swan Lake” and the seven-stranded chair “Spider’s Thread”.
Roy Ward - Horse With A Freeze
"Everybody Street" illuminates the lives and work of New York’s iconic street photographers and the incomparable city that has inspired them for decades. The documentary pays tribute to the spirit of street photography through a cinematic exploration of New York City, and captures the visceral rush, singular perseverance and at times immediate danger customary to these artists.
Your science has no power here.
The problem with development in Toronto
Have you ever wondered why all the new development in Toronto is located downtown? Apart from the obvious reason that downtown real estate is more valuable, what is the major disincentive for developers to take their cranes east of the subway line, or further west for that matter? Surely there must be some socially responsible private developers in Toronto who aim at revitalizing and regenerating older communities in order to create new, vibrant, cohesive communities.
Half tarp. Half tent. Half mysticism.
Hilarious video regarding stereotypes in fundraising campaigns for big charities.
By SAIH Norway who say: “Meet Michael and donate your stereotypes athttp://www.rustyradiator.com .”
At DH2013, the annual Digital Humanities conference, I presented a paper I co-authored with Frederic Kaplan about an ongoing research of the DHLab about Google autocompletion algorithms. In this paper, we explained why autocompletions are “linguistic prosthesis”: they mediate between our thoughts and how we express these thought in (written) language. So do related searches, or the suggestion “Did you mean … ?” But of all the mediations by algorithms, the mediation by autocompletion algorithms acts in a particularly powerful way because it doesn’t correct us afterwards. It intervenes before we have completed formulating our thoughts in writing. Before we hit ENTER.
Thus, the appearance of an autocompletion suggestion during the search process might make people decide to search for this suggestion although they didn’t have the intention to. A recent paper by Baker and Potts (2013) consequently questions “the extent to which such algorithms inadvertently help to perpetuate negative stereotypes“ […]
I am not implying the negative stereotyped search term suggestions about women are Google’s intent – I rather suspect a coordinated bunch of MRAs are to be blamed for the volume of said search terms – but that doesn’t mean Google is completely innocent. The question of accountability goes beyond a binary option of intentionality or complete innocence.
Unsurprisingly, Google doesn’t take any responsiblity. It puts the blame on its own algorithms … as if the algorithms were beyond the company’s control.