30:[{"id":"506a505d6ea7fadd683eb690fbd7be1e1b68c08f403e83c8a7b9fd4b2c52dff608eaa94fc870640670f2724858279ded413dbb196d03516219c432a9ab07cf35","href":"https://static.observableusercontent.com/files/506a505d6ea7fadd683eb690fbd7be1e1b68c08f403e83c8a7b9fd4b2c52dff608eaa94fc870640670f2724858279ded413dbb196d03516219c432a9ab07cf35","name":"fig2b2_raw.csv","type":"text/csv","lastModified":1653463501598.487,"size":22324},{"id":"7f62eceb07d9ee5483192349f6055351118cbba99c13de81a0262c49d29e75e4f225c00fc58a67ebaca0d852696cd566fbfc78dbf7ce12e2666a2b288f94f15a","href":"https://static.observableusercontent.com/files/7f62eceb07d9ee5483192349f6055351118cbba99c13de81a0262c49d29e75e4f225c00fc58a67ebaca0d852696cd566fbfc78dbf7ce12e2666a2b288f94f15a","name":"fig2a_raw.csv","type":"text/csv","lastModified":1652797081605.369,"size":30018},{"id":"16d8518e07336d5a1eecf817f7b4a6cc638e7ccb1948b3ed542ec54b098d4a42bf0fa92ee723a5d432ed53608b78b05b4339bfde6ce0ad25fd7116518d870c14","href":"https://static.observableusercontent.com/files/16d8518e07336d5a1eecf817f7b4a6cc638e7ccb1948b3ed542ec54b098d4a42bf0fa92ee723a5d432ed53608b78b05b4339bfde6ce0ad25fd7116518d870c14","name":"fig2b_raw.csv","type":"text/csv","lastModified":1652797416039.176,"size":8314},{"id":"5724c2a58abafc9103603cc4ecfae7096b23c13a3e7a995cecc1a003138e8a5c7a32ec329233496a8ab8902e1887108f8358bced38cc1ed2bb68d9d164565476","href":"https://static.observableusercontent.com/files/5724c2a58abafc9103603cc4ecfae7096b23c13a3e7a995cecc1a003138e8a5c7a32ec329233496a8ab8902e1887108f8358bced38cc1ed2bb68d9d164565476","name":"fig2A_ledwich.csv","type":"text/csv","lastModified":1654606704413.545,"size":16241},{"id":"506a505d6ea7fadd683eb690fbd7be1e1b68c08f403e83c8a7b9fd4b2c52dff608eaa94fc870640670f2724858279ded413dbb196d03516219c432a9ab07cf35","href":"https://static.observableusercontent.com/files/506a505d6ea7fadd683eb690fbd7be1e1b68c08f403e83c8a7b9fd4b2c52dff608eaa94fc870640670f2724858279ded413dbb196d03516219c432a9ab07cf35","name":"fig2B_ledwich.csv","type":"text/csv","lastModified":1654606704413.497,"size":22324},{"id":"814e8ea7fc291f385db991879a46d11aca8bf2d705c27cc104d95cb82768fd5b3e478197ff8d02b5a5ca2176203559f85b23bc8a0a48f6df2c323368a260f1ec","href":"https://static.observableusercontent.com/files/814e8ea7fc291f385db991879a46d11aca8bf2d705c27cc104d95cb82768fd5b3e478197ff8d02b5a5ca2176203559f85b23bc8a0a48f6df2c323368a260f1ec","name":"fig2A_pnas_v3.csv","type":"text/csv","lastModified":1656696212186.748,"size":18722}] 2e:{"title":"Figure 2: YouTube consumption of political content over time","cells":[{"id":0,"value":"# Figure 2: YouTube consumption of political content over time","pinned":false,"hidden":false,"mode":"md"},{"id":17,"value":"### Hosseinmardi et al (PNAS 2021)","pinned":false,"hidden":false,"mode":"md"},{"id":88,"value":"fig2_1k_final = html`

${viewof fig1k2Show}

${\n fig1k2Show == \"Percent of Users\" ? figure2a : figure2b\n}

`","pinned":false,"hidden":false,"mode":"ojs"},{"id":18,"value":"### Clark et al (arXiv:2010.09892 2020)","pinned":false,"hidden":false,"mode":"md"},{"id":114,"value":"fig2_7k_final = html`

${viewof fig7k2Show}

${\n fig7k2Show == \"Percent of Users\" ? figure2a_7k : figure2b_7k\n}

`","pinned":false,"hidden":false,"mode":"ojs"},{"id":136,"value":"## Figure Setup","pinned":false,"hidden":false,"mode":"md"},{"id":83,"value":"viewof fig1k2Show = Inputs.select(\n [\"Percent of Users\", \"Percent of Watchtime\"],\n {\n value: \"Percent of Users\",\n label: \"Measurement Method\"\n }\n)","pinned":true,"hidden":false,"mode":"ojs"},{"id":41,"value":"figure2a = dateLinear(\n fig2a_data.objects(),\n {\n xTitle: \"Percent of Users\",\n yTitle: \"Date\"\n },\n fig2_palette,\n [0, null]\n)","pinned":true,"hidden":false,"mode":"ojs"},{"id":81,"value":"figure2a_7k = dateLinear(\n fig2a2_processed.objects(),\n {\n xTitle: \"Percent of Users\",\n yTitle: \"Date\"\n },\n fig2_palette,\n [0, null]\n)","pinned":true,"hidden":false,"mode":"ojs"},{"id":112,"value":"viewof fig7k2Show = Inputs.select(\n [\"Percent of Users\", \"Percent of Watchtime\"],\n {\n value: \"Percent of Users\",\n label: \"Measurement Method\"\n }\n)","pinned":true,"hidden":false,"mode":"ojs"},{"id":108,"value":"figure2b_7k = dateLinear(\n fig2b2_processed.objects(),\n {\n xTitle: \"Percent of YouTube Watchtime\",\n yTitle: \"Date\"\n },\n {\n label: [\"L\", \"AW\", \"C\", \"R\", \"fR\"],\n text: [\"Left\", \"Anti-Woke\", \"Center\", \"Right\", \"Far Right\"],\n color: [\"#92C5DE\", \"gray\", \"#7FC97F\", \"#F4A582\", \"#B2182B\"]\n },\n [0, null]\n)","pinned":true,"hidden":false,"mode":"ojs"},{"id":66,"value":"figure2b = dateLinear(\n fig2b_data.objects(),\n {\n xTitle: \"Percent of YouTube Watchtime\",\n yTitle: \"Date\"\n },\n fig2_palette,\n [0, null]\n)","pinned":true,"hidden":false,"mode":"ojs"},{"id":9,"value":"## Data Tables","pinned":false,"hidden":false,"mode":"md"},{"id":39,"value":"fig2_palette = {\n return {\n label: [\"fL\", \"L\", \"AW\", \"C\", \"R\", \"fR\"],\n text: [\"Far Left\", \"Left\", \"Anti-Woke\", \"Center\", \"Right\", \"Far Right\"],\n color: [\"#2166AC\", \"#92C5DE\", \"gray\", \"#7FC97F\", \"#F4A582\", \"#B2182B\"]\n };\n}","pinned":true,"hidden":false,"mode":"ojs"},{"id":48,"value":"#### Figure 2A Processed Data","pinned":false,"hidden":false,"mode":"md"},{"id":36,"value":"viewof fig2a_data = fig2_raw_data\n .groupby(\"label\")\n .derive({\n x: (d) =>\n op.parse_date(d.year + \"-\" + (d.month < 10 ? \"0\" + d.month : d.month)),\n y: (d) => op.parse_float(d.user_percent),\n color: (d) => (d.label == \"IDW\" ? \"AW\" : d.label),\n rolling: aq.rolling((d) => op.average(d.user_percent), [-3, 3])\n })\n .select(\"x\", \"y\", \"color\", \"rolling\")\n .orderby(\"x\")\n .view()","pinned":false,"hidden":false,"mode":"ojs"},{"id":44,"value":"#### Figure 2A Raw Data","pinned":false,"hidden":false,"mode":"md"},{"id":25,"value":"viewof fig2_raw_data = aq\n .from(await FileAttachment(\"fig2A_pnas_v3.csv\").csv())\n .view(1000)","pinned":true,"hidden":false,"mode":"ojs"},{"id":199,"value":"fig2_raw_data.filter((d) => d.label == \"AW\").view()","pinned":true,"hidden":false,"mode":"ojs"},{"id":158,"value":"#### Figure 2A Processed New Data","pinned":false,"hidden":false,"mode":"md"},{"id":160,"value":"viewof fig2a2_processed = fig2a2_raw_data\n .rename({ aggregated_label: \"label\" })\n .groupby(\"label\")\n .derive({\n x: (d) =>\n op.parse_date(d.year + \"-\" + (d.month < 10 ? \"0\" + d.month : d.month)),\n y: (d) => op.parse_float(d.user_percent),\n color: (d) => (d.label == \"IDW\" ? \"AW\" : d.label)\n })\n .orderby(\"x\")\n .derive({\n rolling: aq.rolling((d) => op.average(op.parse_float(d.user_percent)), [\n -3,\n 3\n ])\n })\n .filter((d) => d.color != \"\")\n .select(\"x\", \"y\", \"color\", \"rolling\")\n .orderby(\"x\")\n .view()","pinned":true,"hidden":false,"mode":"ojs"},{"id":98,"value":"#### Figure 2A Raw New Data","pinned":false,"hidden":false,"mode":"md"},{"id":153,"value":"viewof fig2a2_raw_data = aq\n .from(await FileAttachment(\"fig2A_ledwich.csv\").csv())\n .view()","pinned":true,"hidden":false,"mode":"ojs"},{"id":59,"value":"#### Figure 2B Processed Data","pinned":false,"hidden":false,"mode":"md"},{"id":63,"value":"viewof fig2b_data = fig2b_raw_data\n .fold([\"IDW\", \"C\", \"L\", \"R\", \"fL\", \"fR\"])\n .groupby(\"key\")\n .derive({\n x: (d) =>\n op.parse_date(\n op.split(d[\"time\"], \"-\")[0] +\n \"-\" +\n (op.split(d[\"time\"], \"-\")[1] < 10\n ? \"0\" + op.split(d[\"time\"], \"-\")[1]\n : op.split(d[\"time\"], \"-\")[1])\n ),\n y: (d) => op.parse_float(d.value),\n color: (d) => (d.key == \"IDW\" ? \"AW\" : d.key),\n rolling: aq.rolling((d) => op.average(d.value), [-3, 3])\n })\n .select(\"x\", \"y\", \"color\", \"rolling\")\n .orderby(\"x\")\n .view()","pinned":true,"hidden":false,"mode":"ojs"},{"id":55,"value":"#### Figure 2B Raw Data","pinned":false,"hidden":false,"mode":"md"},{"id":52,"value":"viewof fig2b_raw_data = aq\n .from(await FileAttachment(\"fig2b_raw.csv\").csv())\n .view()","pinned":false,"hidden":false,"mode":"ojs"},{"id":123,"value":"#### Figure 2B Processed New Data","pinned":false,"hidden":false,"mode":"md"},{"id":129,"value":"viewof fig2b2_processed = fig2b2_raw_data\n //.select(aq.not(\"label\"))\n .rename({ aggregated_label: \"label\" })\n .groupby(\"label\")\n .derive({\n x: (d) =>\n op.parse_date(d.year + \"-\" + (d.month < 10 ? \"0\" + d.month : d.month)),\n y: (d) => op.parse_float(d.percentage_duration),\n suby: (d) => op.parse_float(d.total_duration),\n color: (d) => (d.label == \"IDW\" ? \"AW\" : d.label)\n })\n .orderby(\"x\")\n .derive({\n rolling: aq.rolling((d) => op.average(op.parse_float(d.y)), [-3, 3])\n })\n .select(\"x\", \"y\", \"suby\", \"color\", \"rolling\")\n .view()","pinned":true,"hidden":false,"mode":"ojs"},{"id":118,"value":"#### Figure 2B New Raw Data","pinned":false,"hidden":false,"mode":"md"},{"id":120,"value":"viewof fig2b2_raw_data = aq\n .from(await FileAttachment(\"fig2B_ledwich.csv\").csv())\n .view()","pinned":true,"hidden":false,"mode":"ojs"},{"id":6,"value":"## Imports","pinned":false,"hidden":false,"mode":"md"},{"id":28,"value":"import { aq, op } from \"@uwdata/arquero\"","pinned":false,"hidden":false,"mode":"ojs"},{"id":31,"value":"d3 = require(\"d3@v6\")","pinned":false,"hidden":false,"mode":"ojs"},{"id":14,"value":"import { dateLinear } from \"@wattslab/datelinear\"","pinned":false,"hidden":false,"mode":"ojs"}],"files":"$W30","stdlib":"1","titling":"auto"}