Simple Lie. 2017
Amplified Division via #FakeNews is a research-based series that examines how social media is threatening the fabric of democracy. Looking to the past, this new collection of forty works explores how historical figures, all of whom pre-date Twitter, may have used the platform had it been available to them in their time. Designed to mimic the layout of a tweet, each work appropriates language from the writings of cultural leaders, innovators, intellectuals and tyrants, while maintaining Twitter’s 280-character format. Their words and catch-phrases are then paired with current events, images, dates and hashtags. For added effect, each of the 12.7 x 25.4 cm digital prints are mounted onto Plexiglas that is meant to resemble the shape and form of a smartphone or a handheld device. Whether it is Sojourner Truth commenting on the death of Eric Garner, or Hitler commenting on the 2017 White Supremacist rally in Virginia, Amplified Division via #FakeNews offers insight into today’s roiling social landscape through the words of historical figures.
Tolerance. 2018
Amplified Division via #FakeNews is a research-based series that examines how social media is threatening the fabric of democracy. Looking to the past, this new collection of forty works explores how historical figures, all of whom pre-date Twitter, may have used the platform had it been available to them in their time. Designed to mimic the layout of a tweet, each work appropriates language from the writings of cultural leaders, innovators, intellectuals and tyrants, while maintaining Twitter’s 280-character format. Their words and catch-phrases are then paired with current events, images, dates and hashtags. For added effect, each of the 12.7 x 25.4 cm digital prints are mounted onto Plexiglas that is meant to resemble the shape and form of a smartphone or a handheld device. Whether it is Sojourner Truth commenting on the death of Eric Garner, or Hitler commenting on the 2017 White Supremacist rally in Virginia, Amplified Division via #FakeNews offers insight into today’s roiling social landscape through the words of historical figures.
Savages. 2018
Amplified Division via #FakeNews is a research-based series that examines how social media is threatening the fabric of democracy. Looking to the past, this new collection of forty works explores how historical figures, all of whom pre-date Twitter, may have used the platform had it been available to them in their time. Designed to mimic the layout of a tweet, each work appropriates language from the writings of cultural leaders, innovators, intellectuals and tyrants, while maintaining Twitter’s 280-character format. Their words and catch-phrases are then paired with current events, images, dates and hashtags. For added effect, each of the 12.7 x 25.4 cm digital prints are mounted onto Plexiglas that is meant to resemble the shape and form of a smartphone or a handheld device. Whether it is Sojourner Truth commenting on the death of Eric Garner, or Hitler commenting on the 2017 White Supremacist rally in Virginia, Amplified Division via #FakeNews offers insight into today’s roiling social landscape through the words of historical figures.
Note: The text above was written by the Artist. No modification was made by C.O.C.A.
Citizen Grey
United States
Citizen Grey creates conceptual works that address topics of global importance and universal themes intended to resonate with all citizens of humanity. Through extensive research, he examines world history, culture and society, science, literature, politics, technology, philosophy, symbolism, and spirituality. Grey will spend upwards of two years compiling research for a single body of work. Citizen Grey is a pseudonym which protects the artist’s identity. By remaining anonymous, he maintains a democratic approach to art making, one that is not restrained by race, creed, gender, socioeconomic class, culture or geographical boundaries. As a custodian of ideas, Grey allows the art to speak for itself through an unbiased lens. Citizen Grey signs all works with a singular thumbprint.