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类型：欧美剧
主演：Yaya DaCosta Nadine Ellis Lance Gro
导演：Jeffrey W. Byrd Tasha Smith
语言：英语
年代：未知
简介： FOX宣布直接预订Karin Gist及Lee Daniels负责的剧《我们一族 Our Kind Of People》，这部剧灵感来自Lawrence Otis Graham所写《Our Kind of People: Inside America’s Black Upper Class》，讲述在马萨葡萄园岛的橡树崖镇上，这里有个已经超过50年历史的黑人富人家族，而单亲母亲的女主Angela Vaughn为了使家庭名誉再次发挥光芒而发明了一种给黑人女性发质用的护发产品。但这也使得女主母亲的秘密被发挖出来，并震撼了这个小社区。
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类型：欧美剧
主演：Russell Tovey Sarah Solemani Kerry
语言：英语
年代：未知
简介： 《宅男腐女》是一部由Stefan Golaszewskia 编剧的英国电视情景喜剧，讲述了一对二十几岁的情侣，史蒂夫和贝基（由拉塞尔·托维和莎拉·索马妮饰演）的慵懒日常生活。该剧于2010年9月6日在BBC三台首播，之后每年出一季7集续集，直到2013年，第四季--也是最后一季--中以两人的婚礼做圆满大结局而完结。 该剧播出后，英国大部分评论家对第一季评价较好；尽管也有人温和地批评其制作粗糙，不够精致，评论家们仍对其优秀的编剧和演技颇为赞赏。 Him Her was a British television sitcom, written by Stefan Golaszewskia, bout a lazy twenty-something couple, called Steve and Becky(played by Russell Tovey and Sarah Solemani). It was first broadcast in the United Kingdom on BBC Three on 6 September 2010. Then every year there was a new series, until the fourth-and final series-aired in 2013, with an happy ending of Paul and Laura's wedding. After its release, most critics in the UK responded warmly to the first series although there was some mild criticism directed towards the more crude and naturalistic aspects of the programme, reviewers reacted positively to the quality of writing and acting found on the show. --松鼠字幕组 华小莫 译
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类型：海外剧
主演：Khosi Ngema Ama Qamata Gail Mabalan
语言：英语
年代：未知
简介： 该剧讲述了一位当地青少年揭开她家庭秘密的过去，并在南非一所高中的复杂世界中航行。
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类型：欧美剧
主演：Martin Freeman Hugh Bonneville Abig
导演：Mark Bussell Justin Sbresni
语言：英语
年代：未知
简介： The misadventures of a quirky British family, focusing on a man whose office inamorata promptly fired him after being promoted above h im, and featuring his obsessively perfectionist brother, his exacting, high maintenance sister and their quarreling elderly parents.
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类型：记录片
主演：Joy Buolamwini Meredith Broussard C
导演：莎里妮·坎塔雅
语言：英语
年代：未知
简介： Exploring the fallout of MIT Media Lab researcher Joy Buolamwini’s startling discovery that facial recognition does not see dark-skinned faces accurately, and her journey to push for the first-ever legislation in the U.S. to govern against bias in the algorithms that impact us all.
